Algorithm 如何比较两种颜色的相似性/差异性
我想设计一个程序,可以帮助我评估5个预定义的颜色,哪一个更类似于可变颜色,以及百分比。问题是我不知道如何一步一步地手动完成。所以想一个程序就更难了 更多细节:颜色来自带有不同颜色的凝胶的试管照片。我有5个不同颜色的管,每个管代表5个级别中的1个。我想拍摄其他样品的照片,并在计算机上通过比较颜色来评估该样品所属的级别,我也想知道近似值的百分比。我想要一个这样的程序:Algorithm 如何比较两种颜色的相似性/差异性,algorithm,colors,compare,rgb,hsv,Algorithm,Colors,Compare,Rgb,Hsv,我想设计一个程序,可以帮助我评估5个预定义的颜色,哪一个更类似于可变颜色,以及百分比。问题是我不知道如何一步一步地手动完成。所以想一个程序就更难了 更多细节:颜色来自带有不同颜色的凝胶的试管照片。我有5个不同颜色的管,每个管代表5个级别中的1个。我想拍摄其他样品的照片,并在计算机上通过比较颜色来评估该样品所属的级别,我也想知道近似值的百分比。我想要一个这样的程序: 如果你能告诉我该采取什么步骤,即使这些步骤是我需要手动思考和执行的。这将非常有帮助 如果您有两个Color对象c1和c2,您可以将c
如果你能告诉我该采取什么步骤,即使这些步骤是我需要手动思考和执行的。这将非常有帮助 如果您有两个
Color
对象c1
和c2
,您可以将c1
中的每个RGB值与c2
的RGB值进行比较
int diffRed = Math.abs(c1.getRed() - c2.getRed());
int diffGreen = Math.abs(c1.getGreen() - c2.getGreen());
int diffBlue = Math.abs(c1.getBlue() - c2.getBlue());
这些值可以除以饱和差的数量(255),得到两者之间的差值
float pctDiffRed = (float)diffRed / 255;
float pctDiffGreen = (float)diffGreen / 255;
float pctDiffBlue = (float)diffBlue / 255;
然后你可以找到平均色差的百分比
(pctDiffRed + pctDiffGreen + pctDiffBlue) / 3 * 100
这会让你知道
c1
和c2
之间的百分比差异,这只是我第一次想到的一个想法(如果愚蠢的话,请原谅)。
int diffRed = Math.abs(c1.getRed() - c2.getRed());
int diffGreen = Math.abs(c1.getGreen() - c2.getGreen());
int diffBlue = Math.abs(c1.getBlue() - c2.getBlue());
颜色的三个组成部分可以假定为点的三维坐标,然后可以计算点之间的距离
F.E
颜色之间的距离是
d=sqrt((r2-r1)^2+(g2-g1)^2+(b2-b1)^2)
百分比是
p=d/sqrt((255)^2+(255)^2+(255)^2)
颜色值具有多个维度,因此没有内在的方法来比较两种颜色。您必须为您的用例确定颜色的含义,从而确定如何最好地比较它们 最有可能的情况是,您希望将颜色的色调、饱和度和/或亮度特性与红色/绿色/蓝色分量进行比较。如果你在想如何比较它们时遇到困难,拿几对样品颜色进行心理比较,然后试着证明/向自己解释它们相似/不同的原因 一旦知道要比较的颜色的哪些属性/组件,就需要找出如何从颜色中提取该信息 很可能您只需要将颜色从常见的红、绿、蓝表示转换为HueSaturationLightness,然后计算如下值
avghue = (color1.hue + color2.hue)/2
distance = abs(color1.hue-avghue)
此示例将为您提供一个简单的标量值,指示颜色的渐变/色调彼此之间的距离
看。我想你最后会想分析整个图像,是吗?因此,您可以检查标识颜色矩阵的最小/最大差异 大多数处理图形的数学运算都使用矩阵,因为使用矩阵的可能算法通常比经典的逐点距离和比较计算要快。(例如,对于使用DirectX、OpenGL等的操作) 所以我认为你应该从这里开始: 。。。正如贝斯卡在上文中所评论的: 这可能不会产生最好的“可见”差异
这也意味着,如果你正在处理图像,你的算法取决于你对“类似”的定义。这只是另一个答案,尽管它与Supr的答案类似——只是不同的颜色空间 问题是:人类感知颜色的差异并不一致,RGB颜色空间忽略了这一点。因此,如果你使用RGB颜色空间,只计算两种颜色之间的欧几里德距离,你可能会得到一个在数学上绝对正确的差异,但与人类告诉你的不一致 这可能不是一个问题-我认为差异并没有那么大,但是如果你想解决这个“更好”的问题,你应该将你的RGB颜色转换成一个专门设计来避免上述问题的颜色空间。有几个是早期模型的改进(因为这是基于人类的感知,我们需要根据实验数据测量“正确”的值)。我认为这是最好的,尽管转换起来有点复杂。更简单的就是这个
因此,您可以尝试一下。有关正确的线索,请参阅维基百科的文章。 基本上,您需要在多维颜色空间中计算距离度量 但是
RGB
不是“感知一致的”,因此Vadim建议的欧几里德RGB
距离度量将与人类感知的颜色之间的距离不匹配。首先,L*a*b*
旨在成为一个感知上均匀的颜色空间,并且通常使用deltaE度量。但还有更精细的色彩空间和更精细的三角公式更接近人类的感知
要进行转换,您必须了解有关颜色空间和光源的更多信息。但对于比欧几里德RGB
度量更好的快速公式,只需执行以下操作:
- 假设您的
值位于RGB
颜色空间中sRGB
- 查找
到sRGB
转换公式L*a*b*
- 将您的
颜色转换为sRGB
L*a*b*
- 计算两个
值之间的差值L*a*b*
这在计算上并不昂贵,只是一些非线性公式和一些乘法和加法。事实上,我在几个月前也走过同样的路。这个问题没有完美的答案(被问了好几次),但有一个比sqrt(r-r)etc答案更复杂,更容易直接用RGB实现,而无需移动到所有类型的备用颜色空间。我发现这个公式是一个相当复杂的实数的低成本近似值(由CIE,即颜色的W3C,因为这是一个未完成的公式)
<script>
var constants = {
canvasWidth: 700, // In pixels.
canvasHeight: 600, // In pixels.
colorMap: new Array()
};
// -----------------------------------------------------------------------------------------------------
function fillcolormap(imageObj1) {
function rgbtoxyz(red1,green1,blue1){ // a converter for converting rgb model to xyz model
var red2 = red1/255;
var green2 = green1/255;
var blue2 = blue1/255;
if(red2>0.04045){
red2 = (red2+0.055)/1.055;
red2 = Math.pow(red2,2.4);
}
else{
red2 = red2/12.92;
}
if(green2>0.04045){
green2 = (green2+0.055)/1.055;
green2 = Math.pow(green2,2.4);
}
else{
green2 = green2/12.92;
}
if(blue2>0.04045){
blue2 = (blue2+0.055)/1.055;
blue2 = Math.pow(blue2,2.4);
}
else{
blue2 = blue2/12.92;
}
red2 = (red2*100);
green2 = (green2*100);
blue2 = (blue2*100);
var x = (red2 * 0.4124) + (green2 * 0.3576) + (blue2 * 0.1805);
var y = (red2 * 0.2126) + (green2 * 0.7152) + (blue2 * 0.0722);
var z = (red2 * 0.0193) + (green2 * 0.1192) + (blue2 * 0.9505);
var xyzresult = new Array();
xyzresult[0] = x;
xyzresult[1] = y;
xyzresult[2] = z;
return(xyzresult);
} //end of rgb_to_xyz function
function xyztolab(xyz){ //a convertor from xyz to lab model
var x = xyz[0];
var y = xyz[1];
var z = xyz[2];
var x2 = x/95.047;
var y2 = y/100;
var z2 = z/108.883;
if(x2>0.008856){
x2 = Math.pow(x2,1/3);
}
else{
x2 = (7.787*x2) + (16/116);
}
if(y2>0.008856){
y2 = Math.pow(y2,1/3);
}
else{
y2 = (7.787*y2) + (16/116);
}
if(z2>0.008856){
z2 = Math.pow(z2,1/3);
}
else{
z2 = (7.787*z2) + (16/116);
}
var l= 116*y2 - 16;
var a= 500*(x2-y2);
var b= 200*(y2-z2);
var labresult = new Array();
labresult[0] = l;
labresult[1] = a;
labresult[2] = b;
return(labresult);
var canvas = document.getElementById('myCanvas');
var context = canvas.getContext('2d');
var imageX = 0;
var imageY = 0;
context.drawImage(imageObj1, imageX, imageY, 240, 140);
var imageData = context.getImageData(0, 0, 240, 140);
var data = imageData.data;
var n = data.length;
// iterate over all pixels
var m = 0;
for (var i = 0; i < n; i += 4) {
var red = data[i];
var green = data[i + 1];
var blue = data[i + 2];
var xyzcolor = new Array();
xyzcolor = rgbtoxyz(red,green,blue);
var lab = new Array();
lab = xyztolab(xyzcolor);
constants.colorMap.push(lab); //fill up the colormap array with lab colors.
}
}
function colorize(pixqty) {
function deltae94(lab1,lab2){ //calculating Delta E 1994
var c1 = Math.sqrt((lab1[1]*lab1[1])+(lab1[2]*lab1[2]));
var c2 = Math.sqrt((lab2[1]*lab2[1])+(lab2[2]*lab2[2]));
var dc = c1-c2;
var dl = lab1[0]-lab2[0];
var da = lab1[1]-lab2[1];
var db = lab1[2]-lab2[2];
var dh = Math.sqrt((da*da)+(db*db)-(dc*dc));
var first = dl;
var second = dc/(1+(0.045*c1));
var third = dh/(1+(0.015*c1));
var deresult = Math.sqrt((first*first)+(second*second)+(third*third));
return(deresult);
} // end of deltae94 function
var lab11 = new Array("80","-4","21");
var lab12 = new Array();
var k2=0;
var canvas = document.getElementById('myCanvas');
var context = canvas.getContext('2d');
var imageData = context.getImageData(0, 0, 240, 140);
var data = imageData.data;
for (var i=0; i<pixqty; i++) {
lab12 = constants.colorMap[i];
var deltae = deltae94(lab11,lab12);
if (deltae <= 10) {
data[i*4] = 255;
data[(i*4)+1] = 0;
data[(i*4)+2] = 0;
k2++;
} // end of if
} //end of for loop
context.clearRect(0,0,240,140);
alert(k2);
context.putImageData(imageData,0,0);
}
// -----------------------------------------------------------------------------------------------------
$(window).load(function () {
var imageObj = new Image();
imageObj.onload = function() {
fillcolormap(imageObj);
}
imageObj.src = './mixcolor.png';
});
// ---------------------------------------------------------------------------------------------------
var pixno2 = 240*140;
</script>
static double colorDifference(int r1, int g1, int b1, int r2, int g2, int b2)
import android.graphics.Color;
public class ColorUtil {
public static int argb(int R, int G, int B) {
return argb(Byte.MAX_VALUE, R, G, B);
}
public static int argb(int A, int R, int G, int B) {
byte[] colorByteArr = {(byte) A, (byte) R, (byte) G, (byte) B};
return byteArrToInt(colorByteArr);
}
public static int[] rgb(int argb) {
return new int[]{(argb >> 16) & 0xFF, (argb >> 8) & 0xFF, argb & 0xFF};
}
public static int byteArrToInt(byte[] colorByteArr) {
return (colorByteArr[0] << 24) + ((colorByteArr[1] & 0xFF) << 16)
+ ((colorByteArr[2] & 0xFF) << 8) + (colorByteArr[3] & 0xFF);
}
public static int[] rgb2lab(int R, int G, int B) {
//http://www.brucelindbloom.com
float r, g, b, X, Y, Z, fx, fy, fz, xr, yr, zr;
float Ls, as, bs;
float eps = 216.f / 24389.f;
float k = 24389.f / 27.f;
float Xr = 0.964221f; // reference white D50
float Yr = 1.0f;
float Zr = 0.825211f;
// RGB to XYZ
r = R / 255.f; //R 0..1
g = G / 255.f; //G 0..1
b = B / 255.f; //B 0..1
// assuming sRGB (D65)
if (r <= 0.04045)
r = r / 12;
else
r = (float) Math.pow((r + 0.055) / 1.055, 2.4);
if (g <= 0.04045)
g = g / 12;
else
g = (float) Math.pow((g + 0.055) / 1.055, 2.4);
if (b <= 0.04045)
b = b / 12;
else
b = (float) Math.pow((b + 0.055) / 1.055, 2.4);
X = 0.436052025f * r + 0.385081593f * g + 0.143087414f * b;
Y = 0.222491598f * r + 0.71688606f * g + 0.060621486f * b;
Z = 0.013929122f * r + 0.097097002f * g + 0.71418547f * b;
// XYZ to Lab
xr = X / Xr;
yr = Y / Yr;
zr = Z / Zr;
if (xr > eps)
fx = (float) Math.pow(xr, 1 / 3.);
else
fx = (float) ((k * xr + 16.) / 116.);
if (yr > eps)
fy = (float) Math.pow(yr, 1 / 3.);
else
fy = (float) ((k * yr + 16.) / 116.);
if (zr > eps)
fz = (float) Math.pow(zr, 1 / 3.);
else
fz = (float) ((k * zr + 16.) / 116);
Ls = (116 * fy) - 16;
as = 500 * (fx - fy);
bs = 200 * (fy - fz);
int[] lab = new int[3];
lab[0] = (int) (2.55 * Ls + .5);
lab[1] = (int) (as + .5);
lab[2] = (int) (bs + .5);
return lab;
}
/**
* Computes the difference between two RGB colors by converting them to the L*a*b scale and
* comparing them using the CIE76 algorithm { http://en.wikipedia.org/wiki/Color_difference#CIE76}
*/
public static double getColorDifference(int a, int b) {
int r1, g1, b1, r2, g2, b2;
r1 = Color.red(a);
g1 = Color.green(a);
b1 = Color.blue(a);
r2 = Color.red(b);
g2 = Color.green(b);
b2 = Color.blue(b);
int[] lab1 = rgb2lab(r1, g1, b1);
int[] lab2 = rgb2lab(r2, g2, b2);
return Math.sqrt(Math.pow(lab2[0] - lab1[0], 2) + Math.pow(lab2[1] - lab1[1], 2) + Math.pow(lab2[2] - lab1[2], 2));
}
}
internal static class ColorDifference
{
internal enum Method
{
Binary, // true or false, 0 is false
Square,
Dimensional,
CIE76
}
public static double Calculate(Method method, int argb1, int argb2)
{
int[] c1 = ColorConversion.ArgbToArray(argb1);
int[] c2 = ColorConversion.ArgbToArray(argb2);
return Calculate(method, c1[1], c2[1], c1[2], c2[2], c1[3], c2[3], c1[0], c2[0]);
}
public static double Calculate(Method method, int r1, int r2, int g1, int g2, int b1, int b2, int a1 = -1, int a2 = -1)
{
switch (method)
{
case Method.Binary:
return (r1 == r2 && g1 == g2 && b1 == b2 && a1 == a2) ? 0 : 100;
case Method.CIE76:
return CalculateCIE76(r1, r2, g1, g2, b1, b2);
case Method.Dimensional:
if (a1 == -1 || a2 == -1) return Calculate3D(r1, r2, g1, g2, b1, b2);
else return Calculate4D(r1, r2, g1, g2, b1, b2, a1, a2);
case Method.Square:
return CalculateSquare(r1, r2, g1, g2, b1, b2, a1, a2);
default:
throw new InvalidOperationException();
}
}
public static double Calculate(Method method, Color c1, Color c2, bool alpha)
{
switch (method)
{
case Method.Binary:
return (c1.R == c2.R && c1.G == c2.G && c1.B == c2.B && (!alpha || c1.A == c2.A)) ? 0 : 100;
case Method.CIE76:
if (alpha) throw new InvalidOperationException();
return CalculateCIE76(c1, c2);
case Method.Dimensional:
if (alpha) return Calculate4D(c1, c2);
else return Calculate3D(c1, c2);
case Method.Square:
if (alpha) return CalculateSquareAlpha(c1, c2);
else return CalculateSquare(c1, c2);
default:
throw new InvalidOperationException();
}
}
// A simple idea, based on on a Square
public static double CalculateSquare(int argb1, int argb2)
{
int[] c1 = ColorConversion.ArgbToArray(argb1);
int[] c2 = ColorConversion.ArgbToArray(argb2);
return CalculateSquare(c1[1], c2[1], c1[2], c2[2], c1[3], c2[3]);
}
public static double CalculateSquare(Color c1, Color c2)
{
return CalculateSquare(c1.R, c2.R, c1.G, c2.G, c1.B, c2.B);
}
public static double CalculateSquareAlpha(int argb1, int argb2)
{
int[] c1 = ColorConversion.ArgbToArray(argb1);
int[] c2 = ColorConversion.ArgbToArray(argb2);
return CalculateSquare(c1[1], c2[1], c1[2], c2[2], c1[3], c2[3], c1[0], c2[0]);
}
public static double CalculateSquareAlpha(Color c1, Color c2)
{
return CalculateSquare(c1.R, c2.R, c1.G, c2.G, c1.B, c2.B, c1.A, c2.A);
}
public static double CalculateSquare(int r1, int r2, int g1, int g2, int b1, int b2, int a1 = -1, int a2 = -1)
{
if (a1 == -1 || a2 == -1) return (Math.Abs(r1 - r2) + Math.Abs(g1 - g2) + Math.Abs(b1 - b2)) / 7.65;
else return (Math.Abs(r1 - r2) + Math.Abs(g1 - g2) + Math.Abs(b1 - b2) + Math.Abs(a1 - a2)) / 10.2;
}
// from:http://stackoverflow.com/questions/9018016/how-to-compare-two-colors
public static double Calculate3D(int argb1, int argb2)
{
int[] c1 = ColorConversion.ArgbToArray(argb1);
int[] c2 = ColorConversion.ArgbToArray(argb2);
return Calculate3D(c1[1], c2[1], c1[2], c2[2], c1[3], c2[3]);
}
public static double Calculate3D(Color c1, Color c2)
{
return Calculate3D(c1.R, c2.R, c1.G, c2.G, c1.B, c2.B);
}
public static double Calculate3D(int r1, int r2, int g1, int g2, int b1, int b2)
{
return Math.Sqrt(Math.Pow(Math.Abs(r1 - r2), 2) + Math.Pow(Math.Abs(g1 - g2), 2) + Math.Pow(Math.Abs(b1 - b2), 2)) / 4.41672955930063709849498817084;
}
// Same as above, but made 4D to include alpha channel
public static double Calculate4D(int argb1, int argb2)
{
int[] c1 = ColorConversion.ArgbToArray(argb1);
int[] c2 = ColorConversion.ArgbToArray(argb2);
return Calculate4D(c1[1], c2[1], c1[2], c2[2], c1[3], c2[3], c1[0], c2[0]);
}
public static double Calculate4D(Color c1, Color c2)
{
return Calculate4D(c1.R, c2.R, c1.G, c2.G, c1.B, c2.B, c1.A, c2.A);
}
public static double Calculate4D(int r1, int r2, int g1, int g2, int b1, int b2, int a1, int a2)
{
return Math.Sqrt(Math.Pow(Math.Abs(r1 - r2), 2) + Math.Pow(Math.Abs(g1 - g2), 2) + Math.Pow(Math.Abs(b1 - b2), 2) + Math.Pow(Math.Abs(a1 - a2), 2)) / 5.1;
}
/**
* Computes the difference between two RGB colors by converting them to the L*a*b scale and
* comparing them using the CIE76 algorithm { http://en.wikipedia.org/wiki/Color_difference#CIE76}
*/
public static double CalculateCIE76(int argb1, int argb2)
{
return CalculateCIE76(Color.FromArgb(argb1), Color.FromArgb(argb2));
}
public static double CalculateCIE76(Color c1, Color c2)
{
return CalculateCIE76(c1.R, c2.R, c1.G, c2.G, c1.B, c2.B);
}
public static double CalculateCIE76(int r1, int r2, int g1, int g2, int b1, int b2)
{
int[] lab1 = ColorConversion.ColorToLab(r1, g1, b1);
int[] lab2 = ColorConversion.ColorToLab(r2, g2, b2);
return Math.Sqrt(Math.Pow(lab2[0] - lab1[0], 2) + Math.Pow(lab2[1] - lab1[1], 2) + Math.Pow(lab2[2] - lab1[2], 2)) / 2.55;
}
}
internal static class ColorConversion
{
public static int[] ArgbToArray(int argb)
{
return new int[] { (argb >> 24), (argb >> 16) & 0xFF, (argb >> 8) & 0xFF, argb & 0xFF };
}
public static int[] ColorToLab(int R, int G, int B)
{
// http://www.brucelindbloom.com
double r, g, b, X, Y, Z, fx, fy, fz, xr, yr, zr;
double Ls, fas, fbs;
double eps = 216.0f / 24389.0f;
double k = 24389.0f / 27.0f;
double Xr = 0.964221f; // reference white D50
double Yr = 1.0f;
double Zr = 0.825211f;
// RGB to XYZ
r = R / 255.0f; //R 0..1
g = G / 255.0f; //G 0..1
b = B / 255.0f; //B 0..1
// assuming sRGB (D65)
if (r <= 0.04045) r = r / 12;
else r = (float)Math.Pow((r + 0.055) / 1.055, 2.4);
if (g <= 0.04045) g = g / 12;
else g = (float)Math.Pow((g + 0.055) / 1.055, 2.4);
if (b <= 0.04045) b = b / 12;
else b = (float)Math.Pow((b + 0.055) / 1.055, 2.4);
X = 0.436052025f * r + 0.385081593f * g + 0.143087414f * b;
Y = 0.222491598f * r + 0.71688606f * g + 0.060621486f * b;
Z = 0.013929122f * r + 0.097097002f * g + 0.71418547f * b;
// XYZ to Lab
xr = X / Xr;
yr = Y / Yr;
zr = Z / Zr;
if (xr > eps) fx = (float)Math.Pow(xr, 1 / 3.0);
else fx = (float)((k * xr + 16.0) / 116.0);
if (yr > eps) fy = (float)Math.Pow(yr, 1 / 3.0);
else fy = (float)((k * yr + 16.0) / 116.0);
if (zr > eps) fz = (float)Math.Pow(zr, 1 / 3.0);
else fz = (float)((k * zr + 16.0) / 116);
Ls = (116 * fy) - 16;
fas = 500 * (fx - fy);
fbs = 200 * (fy - fz);
int[] lab = new int[3];
lab[0] = (int)(2.55 * Ls + 0.5);
lab[1] = (int)(fas + 0.5);
lab[2] = (int)(fbs + 0.5);
return lab;
}
}
cR=R1-R2
cG=G1-G2
cB=B1-B2
uR=R1+R2
distance=cR*cR*(2+uR/256) + cG*cG*4 + cB*cB*(2+(255-uR)/256)
public double colourDistance(int red1,int green1, int blue1, int red2, int green2, int blue2)
{
double rmean = ( red1 + red2 )/2;
int r = red1 - red2;
int g = green1 - green2;
int b = blue1 - blue2;
double weightR = 2 + rmean/256;
double weightG = 4.0;
double weightB = 2 + (255-rmean)/256;
return Math.sqrt(weightR*r*r + weightG*g*g + weightB*b*b);
}
double maxColDist = 764.8339663572415;
double d1 = colourDistance(red1,green1,blue1,red2,green2,blue2);
String s1 = (int) Math.round(((maxColDist-d1)/maxColDist)*100) + "% match";
def lum(c):
def factor(component):
component = component / 255;
if (component <= 0.03928):
component = component / 12.92;
else:
component = math.pow(((component + 0.055) / 1.055), 2.4);
return component
components = [factor(ci) for ci in c]
return (components[0] * 0.2126 + components[1] * 0.7152 + components[2] * 0.0722) + 0.05;
def color_distance(c1, c2):
l1 = lum(c1)
l2 = lum(c2)
higher = max(l1, l2)
lower = min(l1, l2)
return (higher - lower) / higher
c1 = ImageColor.getrgb('white')
c2 = ImageColor.getrgb('yellow')
print(color_distance(c1, c2))
0.0687619047619048
isMatchingColor(intColor1, intColor2, 95) // should match color if 95% similar
private fun isMatchingColor(intColor1: Int, intColor2: Int, percent: Int = 90): Boolean {
val threadSold = 255 - (255 / 100f * percent)
val diffAlpha = abs(Color.alpha(intColor1) - Color.alpha(intColor2))
val diffRed = abs(Color.red(intColor1) - Color.red(intColor2))
val diffGreen = abs(Color.green(intColor1) - Color.green(intColor2))
val diffBlue = abs(Color.blue(intColor1) - Color.blue(intColor2))
if (diffAlpha > threadSold) {
return false
}
if (diffRed > threadSold) {
return false
}
if (diffGreen > threadSold) {
return false
}
if (diffBlue > threadSold) {
return false
}
return true
}
extension UIColor {
var rgba: (red: CGFloat, green: CGFloat, blue: CGFloat, alpha: CGFloat) {
var red: CGFloat = 0
var green: CGFloat = 0
var blue: CGFloat = 0
var alpha: CGFloat = 0
getRed(&red, green: &green, blue: &blue, alpha: &alpha)
return (red, green, blue, alpha)
}
func isSimilar(to colorB: UIColor) -> Bool {
let rgbA = self.rgba
let rgbB = colorB.rgba
let diffRed = abs(CGFloat(rgbA.red) - CGFloat(rgbB.red))
let diffGreen = abs(rgbA.green - rgbB.green)
let diffBlue = abs(rgbA.blue - rgbB.blue)
let pctRed = diffRed
let pctGreen = diffGreen
let pctBlue = diffBlue
let pct = (pctRed + pctGreen + pctBlue) / 3 * 100
return pct < 10 ? true : false
}
}
let black: UIColor = UIColor.black
let white: UIColor = UIColor.white
let similar: Bool = black.isSimilar(to: white)
private float getHue(int color) {
int R = (color >> 16) & 0xff;
int G = (color >> 8) & 0xff;
int B = (color ) & 0xff;
float[] colorHue = new float[3];
ColorUtils.RGBToHSL(R, G, B, colorHue);
return colorHue[0];
}
private float getDistance(getHue(color1), getHue(color2)) {
float avgHue = (hue1 + hue2)/2;
return Math.abs(hue1 - avgHue);
}