在图形中生成明显不同的RGB颜色

Question 1

生成图形并显示不同的数据集时，通常最好按颜色区分这些集。因此，一行是红色，下一行是绿色，依此类推。然后的问题是，当数据集的数量未知时，需要随机生成这些颜色，并且它们最终往往彼此非常接近（例如，绿色，浅绿色）。

关于如何解决这个问题以及如何产生截然不同的颜色的任何想法？

如果有任何示例（基于C＃和RGB的颜色）（如果您觉得更简单，可以随意讨论问题和解决方案而没有示例，我会很高兴）。

Question 2

您具有三个颜色通道0至255 R，G和B。

首先通过

0, 0, 255
0, 255, 0
255, 0, 0

然后经过

0, 255, 255
255, 0, 255
255, 255, 0

然后除以2 => 128，然后重新开始：

0, 0, 128
0, 128, 0
128, 0, 0
0, 128, 128
128, 0, 128
128, 128, 0

除以2 => 64

下次将64添加到128 => 192

根据规律。

直接编程，为您提供相当鲜明的色彩。

编辑：请求代码示例

另外-如果可接受的颜色是灰色，则添加如下所示的其他图案：

255, 255, 255
128, 128, 128

您可以采用多种方法来处理在代码中生成这些代码的方法。

简单的方法

如果可以保证不再需要固定数量的颜色，请按照此图案生成一系列颜色，然后使用这些颜色：

    static string[] ColourValues = new string[] { 
        "FF0000", "00FF00", "0000FF", "FFFF00", "FF00FF", "00FFFF", "000000", 
        "800000", "008000", "000080", "808000", "800080", "008080", "808080", 
        "C00000", "00C000", "0000C0", "C0C000", "C000C0", "00C0C0", "C0C0C0", 
        "400000", "004000", "000040", "404000", "400040", "004040", "404040", 
        "200000", "002000", "000020", "202000", "200020", "002020", "202020", 
        "600000", "006000", "000060", "606000", "600060", "006060", "606060", 
        "A00000", "00A000", "0000A0", "A0A000", "A000A0", "00A0A0", "A0A0A0", 
        "E00000", "00E000", "0000E0", "E0E000", "E000E0", "00E0E0", "E0E0E0", 
    };

艰难的道路

如果您不知道需要多少种颜色，则以下代码将使用此模式生成多达896种颜色。（896 = 256 * 7/2）256是每个通道的色彩空间，我们有7种样式，我们停下来之后才得到只有1个色彩值分开的色彩。

我可能比我需要付出的努力还要多。首先，有一个强度生成器，它从255开始，然后根据上述模式生成值。模式生成器仅循环遍历七个颜色模式。

using System;

class Program {
    static void Main(string[] args) {
        ColourGenerator generator = new ColourGenerator();
        for (int i = 0; i < 896; i++) {
            Console.WriteLine(string.Format("{0}: {1}", i, generator.NextColour()));
        }
    }
}

public class ColourGenerator {

    private int index = 0;
    private IntensityGenerator intensityGenerator = new IntensityGenerator();

    public string NextColour() {
        string colour = string.Format(PatternGenerator.NextPattern(index),
            intensityGenerator.NextIntensity(index));
        index++;
        return colour;
    }
}

public class PatternGenerator {
    public static string NextPattern(int index) {
        switch (index % 7) {
        case 0: return "{0}0000";
        case 1: return "00{0}00";
        case 2: return "0000{0}";
        case 3: return "{0}{0}00";
        case 4: return "{0}00{0}";
        case 5: return "00{0}{0}";
        case 6: return "{0}{0}{0}";
        default: throw new Exception("Math error");
        }
    }
}

public class IntensityGenerator {
    private IntensityValueWalker walker;
    private int current;

    public string NextIntensity(int index) {
        if (index == 0) {
            current = 255;
        }
        else if (index % 7 == 0) {
            if (walker == null) {
                walker = new IntensityValueWalker();
            }
            else {
                walker.MoveNext();
            }
            current = walker.Current.Value;
        }
        string currentText = current.ToString("X");
        if (currentText.Length == 1) currentText = "0" + currentText;
        return currentText;
    }
}

public class IntensityValue {

    private IntensityValue mChildA;
    private IntensityValue mChildB;

    public IntensityValue(IntensityValue parent, int value, int level) {
        if (level > 7) throw new Exception("There are no more colours left");
        Value = value;
        Parent = parent;
        Level = level;
    }

    public int Level { get; set; }
    public int Value { get; set; }
    public IntensityValue Parent { get; set; }

    public IntensityValue ChildA {
        get {
            return mChildA ?? (mChildA = new IntensityValue(this, this.Value - (1<<(7-Level)), Level+1));
        }
    }

    public IntensityValue ChildB {
        get {
            return mChildB ?? (mChildB = new IntensityValue(this, Value + (1<<(7-Level)), Level+1));
        }
    }
}

public class IntensityValueWalker {

    public IntensityValueWalker() {
        Current = new IntensityValue(null, 1<<7, 1);
    }

    public IntensityValue Current { get; set; }

    public void MoveNext() {
        if (Current.Parent == null) {
            Current = Current.ChildA;
        }
        else if (Current.Parent.ChildA == Current) {
            Current = Current.Parent.ChildB;
        }
        else {
            int levelsUp = 1;
            Current = Current.Parent;
            while (Current.Parent != null && Current == Current.Parent.ChildB) {
                Current = Current.Parent;
                levelsUp++;
            }
            if (Current.Parent != null) {
                Current = Current.Parent.ChildB;
            }
            else {
                levelsUp++;
            }
            for (int i = 0; i < levelsUp; i++) {
                Current = Current.ChildA;
            }

        }
    }
}

Question 3

要实现一个变体列表，您的颜色将变为255，然后使用所有可能的颜色，然后将0和所有RGB模式与这两个值相加。然后添加128和所有RGB组合。然后是64。然后是192。等等。

在Java中，

public Color getColor(int i) {
    return new Color(getRGB(i));
}

public int getRGB(int index) {
    int[] p = getPattern(index);
    return getElement(p[0]) << 16 | getElement(p[1]) << 8 | getElement(p[2]);
}

public int getElement(int index) {
    int value = index - 1;
    int v = 0;
    for (int i = 0; i < 8; i++) {
        v = v | (value & 1);
        v <<= 1;
        value >>= 1;
    }
    v >>= 1;
    return v & 0xFF;
}

public int[] getPattern(int index) {
    int n = (int)Math.cbrt(index);
    index -= (n*n*n);
    int[] p = new int[3];
    Arrays.fill(p,n);
    if (index == 0) {
        return p;
    }
    index--;
    int v = index % 3;
    index = index / 3;
    if (index < n) {
        p[v] = index % n;
        return p;
    }
    index -= n;
    p[v      ] = index / n;
    p[++v % 3] = index % n;
    return p;
}

这将在未来无限产生这种类型的模式（2 ^ 24）。但是，在一百个左右的斑点之后，您可能看不到蓝色位置为0或32的颜色之间的很大差异。

您最好将其标准化为其他颜色空间。LAB颜色空间，例如将L，A，B值标准化并转换。因此，通过与人眼更相似的东西推动了颜色的鲜明性。

getElement（）反转8位数字的字节序，并从-1而不是0开始计数（用255掩盖）。因此，随着数字的增加，它变为255,0,127,192,64，...，它的有效位越来越少，将其细分。

getPattern（）确定模式中最重要的元素应该是什么（它是多维数据集的根）。然后继续分解涉及该最重要元素的3N²+ 3N + 1不同模式。

该算法将产生（前128个值）：

#FFFFFF 
#000000 
#FF0000 
#00FF00 
#0000FF 
#FFFF00 
#00FFFF 
#FF00FF 
#808080 
#FF8080 
#80FF80 
#8080FF 
#008080 
#800080 
#808000 
#FFFF80 
#80FFFF 
#FF80FF 
#FF0080 
#80FF00 
#0080FF 
#00FF80 
#8000FF 
#FF8000 
#000080 
#800000 
#008000 
#404040 
#FF4040 
#40FF40 
#4040FF 
#004040 
#400040 
#404000 
#804040 
#408040 
#404080 
#FFFF40 
#40FFFF 
#FF40FF 
#FF0040 
#40FF00 
#0040FF 
#FF8040 
#40FF80 
#8040FF 
#00FF40 
#4000FF 
#FF4000 
#000040 
#400000 
#004000 
#008040 
#400080 
#804000 
#80FF40 
#4080FF 
#FF4080 
#800040 
#408000 
#004080 
#808040 
#408080 
#804080 
#C0C0C0 
#FFC0C0 
#C0FFC0 
#C0C0FF 
#00C0C0 
#C000C0 
#C0C000 
#80C0C0 
#C080C0 
#C0C080 
#40C0C0 
#C040C0 
#C0C040 
#FFFFC0 
#C0FFFF 
#FFC0FF 
#FF00C0 
#C0FF00 
#00C0FF 
#FF80C0 
#C0FF80 
#80C0FF 
#FF40C0 
#C0FF40 
#40C0FF 
#00FFC0 
#C000FF 
#FFC000 
#0000C0 
#C00000 
#00C000 
#0080C0 
#C00080 
#80C000 
#0040C0 
#C00040 
#40C000 
#80FFC0 
#C080FF 
#FFC080 
#8000C0 
#C08000 
#00C080 
#8080C0 
#C08080 
#80C080 
#8040C0 
#C08040 
#40C080 
#40FFC0 
#C040FF 
#FFC040 
#4000C0 
#C04000 
#00C040 
#4080C0 
#C04080 
#80C040 
#4040C0 
#C04040 
#40C040 
#202020 
#FF2020 
#20FF20

从左到右，从上到下阅读。729种颜色（9³）。因此，所有模式最多达到n =9。您会注意到它们开始碰撞的速度。WRGBCYMK变体太多。而这种解决方案虽然很聪明，但基本上只能处理不同的原色阴影。

彩色网格，729 16x16

大部分冲突归因于绿色以及大多数人对大多数人的期待。要求每个开始时最大不同，而不只是足够不同而不是相同的颜色。这个想法的基本缺陷导致了原色图案和相同的色调。

使用CIELab2000颜色空间和距离例程来随机选择并尝试10k种不同的颜色，并找到与先前颜色的最大距离最小距离（几乎是请求的定义），可以避免比上述解决方案更长的冲突：

最大色彩距离

对于Easy Way，可以将其称为静态列表。花了一个半小时才生成729个条目：

#9BC4E5
#310106
#04640D
#FEFB0A
#FB5514
#E115C0
#00587F
#0BC582
#FEB8C8
#9E8317
#01190F
#847D81
#58018B
#B70639
#703B01
#F7F1DF
#118B8A
#4AFEFA
#FCB164
#796EE6
#000D2C
#53495F
#F95475
#61FC03
#5D9608
#DE98FD
#98A088
#4F584E
#248AD0
#5C5300
#9F6551
#BCFEC6
#932C70
#2B1B04
#B5AFC4
#D4C67A
#AE7AA1
#C2A393
#0232FD
#6A3A35
#BA6801
#168E5C
#16C0D0
#C62100
#014347
#233809
#42083B
#82785D
#023087
#B7DAD2
#196956
#8C41BB
#ECEDFE
#2B2D32
#94C661
#F8907D
#895E6B
#788E95
#FB6AB8
#576094
#DB1474
#8489AE
#860E04
#FBC206
#6EAB9B
#F2CDFE
#645341
#760035
#647A41
#496E76
#E3F894
#F9D7CD
#876128
#A1A711
#01FB92
#FD0F31
#BE8485
#C660FB
#120104
#D48958
#05AEE8
#C3C1BE
#9F98F8
#1167D9
#D19012
#B7D802
#826392
#5E7A6A
#B29869
#1D0051
#8BE7FC
#76E0C1
#BACFA7
#11BA09
#462C36
#65407D
#491803
#F5D2A8
#03422C
#72A46E
#128EAC
#47545E
#B95C69
#A14D12
#C4C8FA
#372A55
#3F3610
#D3A2C6
#719FFA
#0D841A
#4C5B32
#9DB3B7
#B14F8F
#747103
#9F816D
#D26A5B
#8B934B
#F98500
#002935
#D7F3FE
#FCB899
#1C0720
#6B5F61
#F98A9D
#9B72C2
#A6919D
#2C3729
#D7C70B
#9F9992
#EFFBD0
#FDE2F1
#923A52
#5140A7
#BC14FD
#6D706C
#0007C4
#C6A62F
#000C14
#904431
#600013
#1C1B08
#693955
#5E7C99
#6C6E82
#D0AFB3
#493B36
#AC93CE
#C4BA9C
#09C4B8
#69A5B8
#374869
#F868ED
#E70850
#C04841
#C36333
#700366
#8A7A93
#52351D
#B503A2
#D17190
#A0F086
#7B41FC
#0EA64F
#017499
#08A882
#7300CD
#A9B074
#4E6301
#AB7E41
#547FF4
#134DAC
#FDEC87
#056164
#FE12A0
#C264BA
#939DAD
#0BCDFA
#277442
#1BDE4A
#826958
#977678
#BAFCE8
#7D8475
#8CCF95
#726638
#FEA8EB
#EAFEF0
#6B9279
#C2FE4B
#304041
#1EA6A7
#022403
#062A47
#054B17
#F4C673
#02FEC7
#9DBAA8
#775551
#835536
#565BCC
#80D7D2
#7AD607
#696F54
#87089A
#664B19
#242235
#7DB00D
#BFC7D6
#D5A97E
#433F31
#311A18
#FDB2AB
#D586C9
#7A5FB1
#32544A
#EFE3AF
#859D96
#2B8570
#8B282D
#E16A07
#4B0125
#021083
#114558
#F707F9
#C78571
#7FB9BC
#FC7F4B
#8D4A92
#6B3119
#884F74
#994E4F
#9DA9D3
#867B40
#CED5C4
#1CA2FE
#D9C5B4
#FEAA00
#507B01
#A7D0DB
#53858D
#588F4A
#FBEEEC
#FC93C1
#D7CCD4
#3E4A02
#C8B1E2
#7A8B62
#9A5AE2
#896C04
#B1121C
#402D7D
#858701
#D498A6
#B484EF
#5C474C
#067881
#C0F9FC
#726075
#8D3101
#6C93B2
#A26B3F
#AA6582
#4F4C4F
#5A563D
#E83005
#32492D
#FC7272
#B9C457
#552A5B
#B50464
#616E79
#DCE2E4
#CF8028
#0AE2F0
#4F1E24
#FD5E46
#4B694E
#C5DEFC
#5DC262
#022D26
#7776B8
#FD9F66
#B049B8
#988F73
#BE385A
#2B2126
#54805A
#141B55
#67C09B
#456989
#DDC1D9
#166175
#C1E29C
#A397B5
#2E2922
#ABDBBE
#B4A6A8
#A06B07
#A99949
#0A0618
#B14E2E
#60557D
#D4A556
#82A752
#4A005B
#3C404F
#6E6657
#7E8BD5
#1275B8
#D79E92
#230735
#661849
#7A8391
#FE0F7B
#B0B6A9
#629591
#D05591
#97B68A
#97939A
#035E38
#53E19E
#DFD7F9
#02436C
#525A72
#059A0E
#3E736C
#AC8E87
#D10C92
#B9906E
#66BDFD
#C0ABFD
#0734BC
#341224
#8AAAC1
#0E0B03
#414522
#6A2F3E
#2D9A8A
#4568FD
#FDE6D2
#FEE007
#9A003C
#AC8190
#DCDD58
#B7903D
#1F2927
#9B02E6
#827A71
#878B8A
#8F724F
#AC4B70
#37233B
#385559
#F347C7
#9DB4FE
#D57179
#DE505A
#37F7DD
#503500
#1C2401
#DD0323
#00A4BA
#955602
#FA5B94
#AA766C
#B8E067
#6A807E
#4D2E27
#73BED7
#D7BC8A
#614539
#526861
#716D96
#829A17
#210109
#436C2D
#784955
#987BAB
#8F0152
#0452FA
#B67757
#A1659F
#D4F8D8
#48416F
#DEBAAF
#A5A9AA
#8C6B83
#403740
#70872B
#D9744D
#151E2C
#5C5E5E
#B47C02
#F4CBD0
#E49D7D
#DD9954
#B0A18B
#2B5308
#EDFD64
#9D72FC
#2A3351
#68496C
#C94801
#EED05E
#826F6D
#E0D6BB
#5B6DB4
#662F98
#0C97CA
#C1CA89
#755A03
#DFA619
#CD70A8
#BBC9C7
#F6BCE3
#A16462
#01D0AA
#87C6B3
#E7B2FA
#D85379
#643AD5
#D18AAE
#13FD5E
#B3E3FD
#C977DB
#C1A7BB
#9286CB
#A19B6A
#8FFED7
#6B1F17
#DF503A
#10DDD7
#9A8457
#60672F
#7D327D
#DD8782
#59AC42
#82FDB8
#FC8AE7
#909F6F
#B691AE
#B811CD
#BCB24E
#CB4BD9
#2B2304
#AA9501
#5D5096
#403221
#F9FAB4
#3990FC
#70DE7F
#95857F
#84A385
#50996F
#797B53
#7B6142
#81D5FE
#9CC428
#0B0438
#3E2005
#4B7C91
#523854
#005EA9
#F0C7AD
#ACB799
#FAC08E
#502239
#BFAB6A
#2B3C48
#0EB5D8
#8A5647
#49AF74
#067AE9
#F19509
#554628
#4426A4
#7352C9
#3F4287
#8B655E
#B480BF
#9BA74C
#5F514C
#CC9BDC
#BA7942
#1C4138
#3C3C3A
#29B09C
#02923F
#701D2B
#36577C
#3F00EA
#3D959E
#440601
#8AEFF3
#6D442A
#BEB1A8
#A11C02
#8383FE
#A73839
#DBDE8A
#0283B3
#888597
#32592E
#F5FDFA
#01191B
#AC707A
#B6BD03
#027B59
#7B4F08
#957737
#83727D
#035543
#6F7E64
#C39999
#52847A
#925AAC
#77CEDA
#516369
#E0D7D0
#FCDD97
#555424
#96E6B6
#85BB74
#5E2074
#BD5E48
#9BEE53
#1A351E
#3148CD
#71575F
#69A6D0
#391A62
#E79EA0
#1C0F03
#1B1636
#D20C39
#765396
#7402FE
#447F3E
#CFD0A8
#3A2600
#685AFC
#A4B3C6
#534302
#9AA097
#FD5154
#9B0085
#403956
#80A1A7
#6E7A9A
#605E6A
#86F0E2
#5A2B01
#7E3D43
#ED823B
#32331B
#424837
#40755E
#524F48
#B75807
#B40080
#5B8CA1
#FDCFE5
#CCFEAC
#755847
#CAB296
#C0D6E3
#2D7100
#D5E4DE
#362823
#69C63C
#AC3801
#163132
#4750A6
#61B8B2
#FCC4B5
#DEBA2E
#FE0449
#737930
#8470AB
#687D87
#D7B760
#6AAB86
#8398B8
#B7B6BF
#92C4A1
#B6084F
#853B5E
#D0BCBA
#92826D
#C6DDC6
#BE5F5A
#280021
#435743
#874514
#63675A
#E97963
#8F9C9E
#985262
#909081
#023508
#DDADBF
#D78493
#363900
#5B0120
#603C47
#C3955D
#AC61CB
#FD7BA7
#716C74
#8D895B
#071001
#82B4F2
#B6BBD8
#71887A
#8B9FE3
#997158
#65A6AB
#2E3067
#321301
#FEECCB
#3B5E72
#C8FE85
#A1DCDF
#CB49A6
#B1C5E4
#3E5EB0
#88AEA7
#04504C
#975232
#6786B9
#068797
#9A98C4
#A1C3C2
#1C3967
#DBEA07
#789658
#E7E7C6
#A6C886
#957F89
#752E62
#171518
#A75648
#01D26F
#0F535D
#047E76
#C54754
#5D6E88
#AB9483
#803B99
#FA9C48
#4A8A22
#654A5C
#965F86
#9D0CBB
#A0E8A0
#D3DBFA
#FD908F
#AEAB85
#A13B89
#F1B350
#066898
#948A42
#C8BEDE
#19252C
#7046AA
#E1EEFC
#3E6557
#CD3F26
#2B1925
#DDAD94
#C0B109
#37DFFE
#039676
#907468
#9E86A5
#3A1B49
#BEE5B7
#C29501
#9E3645
#DC580A
#645631
#444B4B
#FD1A63
#DDE5AE
#887800
#36006F
#3A6260
#784637
#FEA0B7
#A3E0D2
#6D6316
#5F7172
#B99EC7
#777A7E
#E0FEFD
#E16DC5
#01344B
#F8F8FC
#9F9FB5
#182617
#FE3D21
#7D0017
#822F21
#EFD9DC
#6E68C4
#35473E
#007523
#767667
#A6825D
#83DC5F
#227285
#A95E34
#526172
#979730
#756F6D
#716259
#E8B2B5
#B6C9BB
#9078DA
#4F326E
#B2387B
#888C6F
#314B5F
#E5B678
#38A3C6
#586148
#5C515B
#CDCCE1
#C8977F

使用蛮力（通过CIELab Delta2000测试所有16,777,216种RGB颜色/从黑色开始）产生一个系列。它在大约26岁时开始发生冲突，但通过目视检查和手动放下（可能无法通过计算机完成），可能会达到30岁或40岁。因此，以编程方式做到绝对最大值只能制作几十种不同的颜色。不连续的清单是您最好的选择。通过列表，您将获得比以编程方式更多的离散颜色。简单的方法是最好的解决方案，开始与其他方法混合并匹配，以改变颜色而不是颜色。

最大不同

#000000
#00FF00
#0000FF
#FF0000
#01FFFE
#FFA6FE
#FFDB66
#006401
#010067
#95003A
#007DB5
#FF00F6
#FFEEE8
#774D00
#90FB92
#0076FF
#D5FF00
#FF937E
#6A826C
#FF029D
#FE8900
#7A4782
#7E2DD2
#85A900
#FF0056
#A42400
#00AE7E
#683D3B
#BDC6FF
#263400
#BDD393
#00B917
#9E008E
#001544
#C28C9F
#FF74A3
#01D0FF
#004754
#E56FFE
#788231
#0E4CA1
#91D0CB
#BE9970
#968AE8
#BB8800
#43002C
#DEFF74
#00FFC6
#FFE502
#620E00
#008F9C
#98FF52
#7544B1
#B500FF
#00FF78
#FF6E41
#005F39
#6B6882
#5FAD4E
#A75740
#A5FFD2
#FFB167
#009BFF
#E85EBE

更新：我以1024的蛮力继续了大约一个月。

public static final String[] indexcolors = new String[]{
        "#000000", "#FFFF00", "#1CE6FF", "#FF34FF", "#FF4A46", "#008941", "#006FA6", "#A30059",
        "#FFDBE5", "#7A4900", "#0000A6", "#63FFAC", "#B79762", "#004D43", "#8FB0FF", "#997D87",
        "#5A0007", "#809693", "#FEFFE6", "#1B4400", "#4FC601", "#3B5DFF", "#4A3B53", "#FF2F80",
        "#61615A", "#BA0900", "#6B7900", "#00C2A0", "#FFAA92", "#FF90C9", "#B903AA", "#D16100",
        "#DDEFFF", "#000035", "#7B4F4B", "#A1C299", "#300018", "#0AA6D8", "#013349", "#00846F",
        "#372101", "#FFB500", "#C2FFED", "#A079BF", "#CC0744", "#C0B9B2", "#C2FF99", "#001E09",
        "#00489C", "#6F0062", "#0CBD66", "#EEC3FF", "#456D75", "#B77B68", "#7A87A1", "#788D66",
        "#885578", "#FAD09F", "#FF8A9A", "#D157A0", "#BEC459", "#456648", "#0086ED", "#886F4C",
        "#34362D", "#B4A8BD", "#00A6AA", "#452C2C", "#636375", "#A3C8C9", "#FF913F", "#938A81",
        "#575329", "#00FECF", "#B05B6F", "#8CD0FF", "#3B9700", "#04F757", "#C8A1A1", "#1E6E00",
        "#7900D7", "#A77500", "#6367A9", "#A05837", "#6B002C", "#772600", "#D790FF", "#9B9700",
        "#549E79", "#FFF69F", "#201625", "#72418F", "#BC23FF", "#99ADC0", "#3A2465", "#922329",
        "#5B4534", "#FDE8DC", "#404E55", "#0089A3", "#CB7E98", "#A4E804", "#324E72", "#6A3A4C",
        "#83AB58", "#001C1E", "#D1F7CE", "#004B28", "#C8D0F6", "#A3A489", "#806C66", "#222800",
        "#BF5650", "#E83000", "#66796D", "#DA007C", "#FF1A59", "#8ADBB4", "#1E0200", "#5B4E51",
        "#C895C5", "#320033", "#FF6832", "#66E1D3", "#CFCDAC", "#D0AC94", "#7ED379", "#012C58",
        "#7A7BFF", "#D68E01", "#353339", "#78AFA1", "#FEB2C6", "#75797C", "#837393", "#943A4D",
        "#B5F4FF", "#D2DCD5", "#9556BD", "#6A714A", "#001325", "#02525F", "#0AA3F7", "#E98176",
        "#DBD5DD", "#5EBCD1", "#3D4F44", "#7E6405", "#02684E", "#962B75", "#8D8546", "#9695C5",
        "#E773CE", "#D86A78", "#3E89BE", "#CA834E", "#518A87", "#5B113C", "#55813B", "#E704C4",
        "#00005F", "#A97399", "#4B8160", "#59738A", "#FF5DA7", "#F7C9BF", "#643127", "#513A01",
        "#6B94AA", "#51A058", "#A45B02", "#1D1702", "#E20027", "#E7AB63", "#4C6001", "#9C6966",
        "#64547B", "#97979E", "#006A66", "#391406", "#F4D749", "#0045D2", "#006C31", "#DDB6D0",
        "#7C6571", "#9FB2A4", "#00D891", "#15A08A", "#BC65E9", "#FFFFFE", "#C6DC99", "#203B3C",
        "#671190", "#6B3A64", "#F5E1FF", "#FFA0F2", "#CCAA35", "#374527", "#8BB400", "#797868",
        "#C6005A", "#3B000A", "#C86240", "#29607C", "#402334", "#7D5A44", "#CCB87C", "#B88183",
        "#AA5199", "#B5D6C3", "#A38469", "#9F94F0", "#A74571", "#B894A6", "#71BB8C", "#00B433",
        "#789EC9", "#6D80BA", "#953F00", "#5EFF03", "#E4FFFC", "#1BE177", "#BCB1E5", "#76912F",
        "#003109", "#0060CD", "#D20096", "#895563", "#29201D", "#5B3213", "#A76F42", "#89412E",
        "#1A3A2A", "#494B5A", "#A88C85", "#F4ABAA", "#A3F3AB", "#00C6C8", "#EA8B66", "#958A9F",
        "#BDC9D2", "#9FA064", "#BE4700", "#658188", "#83A485", "#453C23", "#47675D", "#3A3F00",
        "#061203", "#DFFB71", "#868E7E", "#98D058", "#6C8F7D", "#D7BFC2", "#3C3E6E", "#D83D66",
        "#2F5D9B", "#6C5E46", "#D25B88", "#5B656C", "#00B57F", "#545C46", "#866097", "#365D25",
        "#252F99", "#00CCFF", "#674E60", "#FC009C", "#92896B", "#1E2324", "#DEC9B2", "#9D4948",
        "#85ABB4", "#342142", "#D09685", "#A4ACAC", "#00FFFF", "#AE9C86", "#742A33", "#0E72C5",
        "#AFD8EC", "#C064B9", "#91028C", "#FEEDBF", "#FFB789", "#9CB8E4", "#AFFFD1", "#2A364C",
        "#4F4A43", "#647095", "#34BBFF", "#807781", "#920003", "#B3A5A7", "#018615", "#F1FFC8",
        "#976F5C", "#FF3BC1", "#FF5F6B", "#077D84", "#F56D93", "#5771DA", "#4E1E2A", "#830055",
        "#02D346", "#BE452D", "#00905E", "#BE0028", "#6E96E3", "#007699", "#FEC96D", "#9C6A7D",
        "#3FA1B8", "#893DE3", "#79B4D6", "#7FD4D9", "#6751BB", "#B28D2D", "#E27A05", "#DD9CB8",
        "#AABC7A", "#980034", "#561A02", "#8F7F00", "#635000", "#CD7DAE", "#8A5E2D", "#FFB3E1",
        "#6B6466", "#C6D300", "#0100E2", "#88EC69", "#8FCCBE", "#21001C", "#511F4D", "#E3F6E3",
        "#FF8EB1", "#6B4F29", "#A37F46", "#6A5950", "#1F2A1A", "#04784D", "#101835", "#E6E0D0",
        "#FF74FE", "#00A45F", "#8F5DF8", "#4B0059", "#412F23", "#D8939E", "#DB9D72", "#604143",
        "#B5BACE", "#989EB7", "#D2C4DB", "#A587AF", "#77D796", "#7F8C94", "#FF9B03", "#555196",
        "#31DDAE", "#74B671", "#802647", "#2A373F", "#014A68", "#696628", "#4C7B6D", "#002C27",
        "#7A4522", "#3B5859", "#E5D381", "#FFF3FF", "#679FA0", "#261300", "#2C5742", "#9131AF",
        "#AF5D88", "#C7706A", "#61AB1F", "#8CF2D4", "#C5D9B8", "#9FFFFB", "#BF45CC", "#493941",
        "#863B60", "#B90076", "#003177", "#C582D2", "#C1B394", "#602B70", "#887868", "#BABFB0",
        "#030012", "#D1ACFE", "#7FDEFE", "#4B5C71", "#A3A097", "#E66D53", "#637B5D", "#92BEA5",
        "#00F8B3", "#BEDDFF", "#3DB5A7", "#DD3248", "#B6E4DE", "#427745", "#598C5A", "#B94C59",
        "#8181D5", "#94888B", "#FED6BD", "#536D31", "#6EFF92", "#E4E8FF", "#20E200", "#FFD0F2",
        "#4C83A1", "#BD7322", "#915C4E", "#8C4787", "#025117", "#A2AA45", "#2D1B21", "#A9DDB0",
        "#FF4F78", "#528500", "#009A2E", "#17FCE4", "#71555A", "#525D82", "#00195A", "#967874",
        "#555558", "#0B212C", "#1E202B", "#EFBFC4", "#6F9755", "#6F7586", "#501D1D", "#372D00",
        "#741D16", "#5EB393", "#B5B400", "#DD4A38", "#363DFF", "#AD6552", "#6635AF", "#836BBA",
        "#98AA7F", "#464836", "#322C3E", "#7CB9BA", "#5B6965", "#707D3D", "#7A001D", "#6E4636",
        "#443A38", "#AE81FF", "#489079", "#897334", "#009087", "#DA713C", "#361618", "#FF6F01",
        "#006679", "#370E77", "#4B3A83", "#C9E2E6", "#C44170", "#FF4526", "#73BE54", "#C4DF72",
        "#ADFF60", "#00447D", "#DCCEC9", "#BD9479", "#656E5B", "#EC5200", "#FF6EC2", "#7A617E",
        "#DDAEA2", "#77837F", "#A53327", "#608EFF", "#B599D7", "#A50149", "#4E0025", "#C9B1A9",
        "#03919A", "#1B2A25", "#E500F1", "#982E0B", "#B67180", "#E05859", "#006039", "#578F9B",
        "#305230", "#CE934C", "#B3C2BE", "#C0BAC0", "#B506D3", "#170C10", "#4C534F", "#224451",
        "#3E4141", "#78726D", "#B6602B", "#200441", "#DDB588", "#497200", "#C5AAB6", "#033C61",
        "#71B2F5", "#A9E088", "#4979B0", "#A2C3DF", "#784149", "#2D2B17", "#3E0E2F", "#57344C",
        "#0091BE", "#E451D1", "#4B4B6A", "#5C011A", "#7C8060", "#FF9491", "#4C325D", "#005C8B",
        "#E5FDA4", "#68D1B6", "#032641", "#140023", "#8683A9", "#CFFF00", "#A72C3E", "#34475A",
        "#B1BB9A", "#B4A04F", "#8D918E", "#A168A6", "#813D3A", "#425218", "#DA8386", "#776133",
        "#563930", "#8498AE", "#90C1D3", "#B5666B", "#9B585E", "#856465", "#AD7C90", "#E2BC00",
        "#E3AAE0", "#B2C2FE", "#FD0039", "#009B75", "#FFF46D", "#E87EAC", "#DFE3E6", "#848590",
        "#AA9297", "#83A193", "#577977", "#3E7158", "#C64289", "#EA0072", "#C4A8CB", "#55C899",
        "#E78FCF", "#004547", "#F6E2E3", "#966716", "#378FDB", "#435E6A", "#DA0004", "#1B000F",
        "#5B9C8F", "#6E2B52", "#011115", "#E3E8C4", "#AE3B85", "#EA1CA9", "#FF9E6B", "#457D8B",
        "#92678B", "#00CDBB", "#9CCC04", "#002E38", "#96C57F", "#CFF6B4", "#492818", "#766E52",
        "#20370E", "#E3D19F", "#2E3C30", "#B2EACE", "#F3BDA4", "#A24E3D", "#976FD9", "#8C9FA8",
        "#7C2B73", "#4E5F37", "#5D5462", "#90956F", "#6AA776", "#DBCBF6", "#DA71FF", "#987C95",
        "#52323C", "#BB3C42", "#584D39", "#4FC15F", "#A2B9C1", "#79DB21", "#1D5958", "#BD744E",
        "#160B00", "#20221A", "#6B8295", "#00E0E4", "#102401", "#1B782A", "#DAA9B5", "#B0415D",
        "#859253", "#97A094", "#06E3C4", "#47688C", "#7C6755", "#075C00", "#7560D5", "#7D9F00",
        "#C36D96", "#4D913E", "#5F4276", "#FCE4C8", "#303052", "#4F381B", "#E5A532", "#706690",
        "#AA9A92", "#237363", "#73013E", "#FF9079", "#A79A74", "#029BDB", "#FF0169", "#C7D2E7",
        "#CA8869", "#80FFCD", "#BB1F69", "#90B0AB", "#7D74A9", "#FCC7DB", "#99375B", "#00AB4D",
        "#ABAED1", "#BE9D91", "#E6E5A7", "#332C22", "#DD587B", "#F5FFF7", "#5D3033", "#6D3800",
        "#FF0020", "#B57BB3", "#D7FFE6", "#C535A9", "#260009", "#6A8781", "#A8ABB4", "#D45262",
        "#794B61", "#4621B2", "#8DA4DB", "#C7C890", "#6FE9AD", "#A243A7", "#B2B081", "#181B00",
        "#286154", "#4CA43B", "#6A9573", "#A8441D", "#5C727B", "#738671", "#D0CFCB", "#897B77",
        "#1F3F22", "#4145A7", "#DA9894", "#A1757A", "#63243C", "#ADAAFF", "#00CDE2", "#DDBC62",
        "#698EB1", "#208462", "#00B7E0", "#614A44", "#9BBB57", "#7A5C54", "#857A50", "#766B7E",
        "#014833", "#FF8347", "#7A8EBA", "#274740", "#946444", "#EBD8E6", "#646241", "#373917",
        "#6AD450", "#81817B", "#D499E3", "#979440", "#011A12", "#526554", "#B5885C", "#A499A5",
        "#03AD89", "#B3008B", "#E3C4B5", "#96531F", "#867175", "#74569E", "#617D9F", "#E70452",
        "#067EAF", "#A697B6", "#B787A8", "#9CFF93", "#311D19", "#3A9459", "#6E746E", "#B0C5AE",
        "#84EDF7", "#ED3488", "#754C78", "#384644", "#C7847B", "#00B6C5", "#7FA670", "#C1AF9E",
        "#2A7FFF", "#72A58C", "#FFC07F", "#9DEBDD", "#D97C8E", "#7E7C93", "#62E674", "#B5639E",
        "#FFA861", "#C2A580", "#8D9C83", "#B70546", "#372B2E", "#0098FF", "#985975", "#20204C",
        "#FF6C60", "#445083", "#8502AA", "#72361F", "#9676A3", "#484449", "#CED6C2", "#3B164A",
        "#CCA763", "#2C7F77", "#02227B", "#A37E6F", "#CDE6DC", "#CDFFFB", "#BE811A", "#F77183",
        "#EDE6E2", "#CDC6B4", "#FFE09E", "#3A7271", "#FF7B59", "#4E4E01", "#4AC684", "#8BC891",
        "#BC8A96", "#CF6353", "#DCDE5C", "#5EAADD", "#F6A0AD", "#E269AA", "#A3DAE4", "#436E83",
        "#002E17", "#ECFBFF", "#A1C2B6", "#50003F", "#71695B", "#67C4BB", "#536EFF", "#5D5A48",
        "#890039", "#969381", "#371521", "#5E4665", "#AA62C3", "#8D6F81", "#2C6135", "#410601",
        "#564620", "#E69034", "#6DA6BD", "#E58E56", "#E3A68B", "#48B176", "#D27D67", "#B5B268",
        "#7F8427", "#FF84E6", "#435740", "#EAE408", "#F4F5FF", "#325800", "#4B6BA5", "#ADCEFF",
        "#9B8ACC", "#885138", "#5875C1", "#7E7311", "#FEA5CA", "#9F8B5B", "#A55B54", "#89006A",
        "#AF756F", "#2A2000", "#576E4A", "#7F9EFF", "#7499A1", "#FFB550", "#00011E", "#D1511C",
        "#688151", "#BC908A", "#78C8EB", "#8502FF", "#483D30", "#C42221", "#5EA7FF", "#785715",
        "#0CEA91", "#FFFAED", "#B3AF9D", "#3E3D52", "#5A9BC2", "#9C2F90", "#8D5700", "#ADD79C",
        "#00768B", "#337D00", "#C59700", "#3156DC", "#944575", "#ECFFDC", "#D24CB2", "#97703C",
        "#4C257F", "#9E0366", "#88FFEC", "#B56481", "#396D2B", "#56735F", "#988376", "#9BB195",
        "#A9795C", "#E4C5D3", "#9F4F67", "#1E2B39", "#664327", "#AFCE78", "#322EDF", "#86B487",
        "#C23000", "#ABE86B", "#96656D", "#250E35", "#A60019", "#0080CF", "#CAEFFF", "#323F61",
        "#A449DC", "#6A9D3B", "#FF5AE4", "#636A01", "#D16CDA", "#736060", "#FFBAAD", "#D369B4",
        "#FFDED6", "#6C6D74", "#927D5E", "#845D70", "#5B62C1", "#2F4A36", "#E45F35", "#FF3B53",
        "#AC84DD", "#762988", "#70EC98", "#408543", "#2C3533", "#2E182D", "#323925", "#19181B",
        "#2F2E2C", "#023C32", "#9B9EE2", "#58AFAD", "#5C424D", "#7AC5A6", "#685D75", "#B9BCBD",
        "#834357", "#1A7B42", "#2E57AA", "#E55199", "#316E47", "#CD00C5", "#6A004D", "#7FBBEC",
        "#F35691", "#D7C54A", "#62ACB7", "#CBA1BC", "#A28A9A", "#6C3F3B", "#FFE47D", "#DCBAE3",
        "#5F816D", "#3A404A", "#7DBF32", "#E6ECDC", "#852C19", "#285366", "#B8CB9C", "#0E0D00",
        "#4B5D56", "#6B543F", "#E27172", "#0568EC", "#2EB500", "#D21656", "#EFAFFF", "#682021",
        "#2D2011", "#DA4CFF", "#70968E", "#FF7B7D", "#4A1930", "#E8C282", "#E7DBBC", "#A68486",
        "#1F263C", "#36574E", "#52CE79", "#ADAAA9", "#8A9F45", "#6542D2", "#00FB8C", "#5D697B",
        "#CCD27F", "#94A5A1", "#790229", "#E383E6", "#7EA4C1", "#4E4452", "#4B2C00", "#620B70",
        "#314C1E", "#874AA6", "#E30091", "#66460A", "#EB9A8B", "#EAC3A3", "#98EAB3", "#AB9180",
        "#B8552F", "#1A2B2F", "#94DDC5", "#9D8C76", "#9C8333", "#94A9C9", "#392935", "#8C675E",
        "#CCE93A", "#917100", "#01400B", "#449896", "#1CA370", "#E08DA7", "#8B4A4E", "#667776",
        "#4692AD", "#67BDA8", "#69255C", "#D3BFFF", "#4A5132", "#7E9285", "#77733C", "#E7A0CC",
        "#51A288", "#2C656A", "#4D5C5E", "#C9403A", "#DDD7F3", "#005844", "#B4A200", "#488F69",
        "#858182", "#D4E9B9", "#3D7397", "#CAE8CE", "#D60034", "#AA6746", "#9E5585", "#BA6200"
    };

Question 4

我在线上放置了一个页面，用于以程序方式生成视觉上不同的颜色：http :
//phrogz.net/css/distinct-colors.html

与这里的其他答案均匀地跨过RGB或HSV空间（轴值和感知差异之间存在非线性关系）不同，我的页面使用标准的CMI（I：c）颜色距离算法来防止两种颜色也过视觉上接近。

页面的最后一个选项卡允许您以几种方式对值进行排序，然后对它们进行交织（有序混洗），以便获得彼此非常不同的颜色。

在撰写本文时，它仅在Chrome和Safari上运行良好，并且带有用于Firefox的垫片。它在界面中使用HTML5范围输入滑块，而IE9和Firefox本身还不支持。

Question 5

我认为HSV（或HSL）领域在这里有更多机会。如果您不介意额外的转换，只需旋转“色相”值即可轻松浏览所有颜色。如果这还不够，您可以更改“饱和度” /“值” /“亮度”值，然后再次进行旋转。或者，您始终可以移动Hue值或更改“步进”角度并旋转更多次。

Question 6

以前的RGB解决方案存在一个缺陷。它们不使用整个颜色空间，因为它们将颜色值和0用作通道：

#006600
#330000
#FF00FF

相反，他们应该使用所有可能的颜色值来生成混合颜色，这些颜色在整个颜色通道中最多可以具有3个不同的值：

#336600
#FF0066
#33FF66

使用完整的色彩空间，您可以生成更多不同的色彩。例如，如果每个通道有4个值，则可以生成4 * 4 * 4 = 64种颜色。使用其他方案时，只能生成4 * 7 + 1 = 29种颜色。

如果要N种颜色，则每个通道所需的值数为：ceil（cube_root（N））

这样，您就可以确定可能的（0-255范围）值（python）：

max = 255
segs = int(num**(Decimal("1.0")/3))
step = int(max/segs)
p = [(i*step) for i in xrange(segs)]
values = [max]
values.extend(p)

然后，您可以遍历RGB颜色（不建议这样做）：

total = 0
for red in values:
  for green in values:
    for blue in values:
      if total <= N:
        print color(red, green, blue)
      total += 1

嵌套循环会起作用，但不建议使用嵌套循环，因为它会偏向蓝色通道，并且所产生的颜色将没有足够的红色（N很可能小于所有可能的颜色值的数量）。

您可以为循环创建一个更好的算法，在该循环中，每个通道均被平等对待，并且与小通道相比，更喜欢使用不同的颜色值。

我有一个解决方案，但是由于它不是最容易理解或有效的，所以不想发布它。但是，如果您确实愿意，可以查看解决方案。

这是64种颜色的示例：64种颜色

Question 7

我需要简单形式的相同功能。

我需要从不断增加的索引值中生成尽可能独特的颜色。

这是C＃中的代码（任何其他语言的实现都应该非常相似）

机制很简单

从0到7的indexA值生成color_writers模式。
对于索引<8，这些颜色为= color_writer [indexA] * 255。
对于介于8到15之间的索引，这些颜色是= color_writer [indexA] * 255 +（color_writer [indexA + 1]）* 127
对于介于16到23之间的索引，这些颜色为= color_writer [indexA] * 255 +（color_writer [indexA + 1]）* 127 +（color_writer [indexA + 2]）* 63

等等：

    private System.Drawing.Color GetRandColor(int index)
    {
        byte red = 0;
        byte green = 0;
        byte blue = 0;

        for (int t = 0; t <= index / 8; t++)
        {
            int index_a = (index+t) % 8;
            int index_b = index_a / 2;

            //Color writers, take on values of 0 and 1
            int color_red = index_a % 2;
            int color_blue = index_b % 2;
            int color_green = ((index_b + 1) % 3) % 2;

            int add = 255 / (t + 1);

            red = (byte)(red+color_red * add);
            green = (byte)(green + color_green * add);
            blue = (byte)(blue + color_blue * add);
        }

        Color color = Color.FromArgb(red, green, blue);
        return color;
    }

注意：为避免产生明亮且难以看清的颜色（在此示例中：白色背景上的黄色），可以使用递归循环对其进行修改：

    int skip_index = 0;
    private System.Drawing.Color GetRandColor(int index)
    {
        index += skip_index;
        byte red = 0;
        byte green = 0;
        byte blue = 0;

        for (int t = 0; t <= index / 8; t++)
        {
            int index_a = (index+t) % 8;
            int index_b = index_a / 2;

            //Color writers, take on values of 0 and 1
            int color_red = index_a % 2;
            int color_blue = index_b % 2;
            int color_green = ((index_b + 1) % 3) % 2;

            int add = 255 / (t + 1);

            red = (byte)(red + color_red * add);
            green = (byte)(green + color_green * add);
            blue = (byte)(blue + color_blue * add);
        }

        if(red > 200 && green > 200)
        {
            skip_index++;
            return GetRandColor(index);
        }

        Color color = Color.FromArgb(red, green, blue);
        return color;
    }

Question 8

我将从设定的亮度100％开始，然后首先解决原色：

FF0000、00FF00、0000FF

然后组合

FFFF00，FF00FF，00FFFF

接下来，例如将亮度减半并进行相同的回合。没有太多真正明显不同的颜色，在这些之后，我将开始更改线宽并进行点划线/虚线等。

Question 9

我以较短的方式实现了该算法

void ColorValue::SetColorValue( double r, double g, double b, ColorType myType )
{
   this->c[0] = r;
   this->c[1] = g;
   this->c[2] = b;

   this->type = myType;
}


DistinctColorGenerator::DistinctColorGenerator()
{
   mFactor = 255;
   mColorsGenerated = 0;
   mpColorCycle = new ColorValue[6];
   mpColorCycle[0].SetColorValue( 1.0, 0.0, 0.0, TYPE_RGB);
   mpColorCycle[1].SetColorValue( 0.0, 1.0, 0.0, TYPE_RGB);
   mpColorCycle[2].SetColorValue( 0.0, 0.0, 1.0, TYPE_RGB);
   mpColorCycle[3].SetColorValue( 1.0, 1.0, 0.0, TYPE_RGB);
   mpColorCycle[4].SetColorValue( 1.0, 0.0, 1.0, TYPE_RGB);
   mpColorCycle[5].SetColorValue( 0.0, 1.0, 1.0, TYPE_RGB);
}

//----------------------------------------------------------

ColorValue DistinctColorGenerator::GenerateNewColor()
{
   int innerCycleNr = mColorsGenerated % 6;
   int outerCycleNr = mColorsGenerated / 6;
   int cycleSize = pow( 2, (int)(log((double)(outerCycleNr)) / log( 2.0 ) ) );
   int insideCycleCounter = outerCycleNr % cyclesize;

   if ( outerCycleNr == 0)
   {
      mFactor = 255;
   }
   else
   {
      mFactor = ( 256 / ( 2 * cycleSize ) ) + ( insideCycleCounter * ( 256 / cycleSize ) );
   }

   ColorValue newColor = mpColorCycle[innerCycleNr] * mFactor;

   mColorsGenerated++;
   return newColor;
}

Question 10

您也可以将颜色空间视为三个数字（从0到255，包括0和255）的所有组合。那是0到255 ^ 3之间的数字的基数255表示形式，被强制具有三个小数位（如果需要，在末尾添加零）。

因此，要生成x个颜色，您需要计算x个等距的百分比（0到100）。将这些百分比乘以255 ^ 3即可得到数字，将这些数字转换为以255为基数，然后如前所述添加零。

基本转换算法，以供参考（使用与C＃非常接近的伪代码）：

int num = (number to convert);
int baseConvert = (desired base, 255 in this case);
(array of ints) nums = new (array of ints);
int x = num;
double digits = Math.Log(num, baseConvert); //or ln(num) / ln(baseConvert)
int numDigits = (digits - Math.Ceiling(digits) == 0 ? (int)(digits + 1) : (int)Math.Ceiling(digits)); //go up one if it turns out even
for (int i = 0; i < numDigits; i++)
{
  int toAdd = ((int)Math.Floor(x / Math.Pow((double)convertBase, (double)(numDigits - i - 1))));
  //Formula for 0th digit: d = num / (convertBase^(numDigits - 1))
  //Then subtract (d * convertBase^(numDigits - 1)) from the num and continue
  nums.Add(toAdd);
  x -= toAdd * (int)Math.Pow((double)convertBase, (double)(numDigits - i - 1));
}
return nums;

如果需要，您可能还需要采取一些措施来扩大范围，以免出现白色和黑色。这些数字实际上并不是一个平滑的色标，但是如果您没有太多，它们会生成单独的颜色。

这个问题更多地涉及.NET中的基本转换。

Question 11

获得第n种颜色。只需这种代码就足够了。我在opencv群集问题中使用了它。当col更改时，这将创建不同的颜色。

for(int col=1;col<CLUSTER_COUNT+1;col++){
switch(col%6)
   {
   case 1:cout<<Scalar(0,0,(int)(255/(int)(col/6+1)))<<endl;break;
   case 2:cout<<Scalar(0,(int)(255/(int)(col/6+1)),0)<<endl;break;
    case 3:cout<<Scalar((int)(255/(int)(col/6+1)),0,0)<<endl;break;
    case 4:cout<<Scalar(0,(int)(255/(int)(col/6+1)),(int)(255/(int)(col/6+1)))<<endl;break;
    case 5:cout<<Scalar((int)(255/(int)(col/6+1)),0,(int)(255/(int)(col/6+1)))<<endl;break;
    case 0:cout<<Scalar((int)(255/(int)(col/6)),(int)(255/(int)(col/6)),0)<<endl;break;
   }
}

Question 12

如果有人需要为C＃中的白色前景生成随机的中等到高深色，这是代码。

[DllImport("shlwapi.dll")]
public static extern int ColorHLSToRGB(int H, int L, int S);

public static string GetRandomDarkColor()
{
    int h = 0, s = 0, l = 0;
    h = (RandomObject.Next(1, 2) % 2 == 0) ? RandomObject.Next(0, 180) : iApp.RandomObject.Next(181, 360);
    s = RandomObject.Next(90, 160);
    l = RandomObject.Next(80, 130);

    return System.Drawing.ColorTranslator.FromWin32(ColorHLSToRGB(h, l, s)).ToHex();
}

private static string ToHex(this System.Drawing.Color c)
{
    return "#" + c.R.ToString("X2") + c.G.ToString("X2") + c.B.ToString("X2");
}

您可以RandomObject用自己的Random类对象替换。

Question 13

您可以随机获得3 255个值，并对照最后3个值对它进行检查，并在使用前确保它们与旧值至少相差X倍。

OLD：190、120、100

新：180、200、30

如果X = 20，则将重新生成新集合。