【测试环境】
vs2019
opencv==4.8.0
【效果演示】
【核心实现代码】
SelectiveColor.hpp
#ifndef OPENCV2_PS_SELECTIVECOLOR_HPP_
#define OPENCV2_PS_SELECTIVECOLOR_HPP_
#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
using namespace cv;
namespace cv {
typedef enum select_color {
SELECT_RED,
SELECT_YELLOW,
SELECT_GREEN,
SELECT_CYAN,
SELECT_BLUE,
SELECT_MAGENTA,
SELECT_WHITE,
SELECT_MIDDLE,
SELECT_BLACK
} select_color_t;
/**
* Class of Adjustment for One Select Color
*/
class SelectiveColorAdjust{
public:
float cyan; //青色调整值，取值范围： [-1, 1]
float magenta; //取值范围： [-1, 1]
float yellow; //取值范围： [-1, 1]
float black; //取值范围： [-1, 1]
bool defined;
SelectiveColorAdjust();
virtual ~SelectiveColorAdjust();
void calcDefined();
};
/**
* Class of Selective Color
*/
class SelectiveColor {
public:
bool isAbsolute; //是否采用绝对方法
SelectiveColorAdjust colors[ SELECT_BLACK + 1 ]; //9种可选颜色通道
SelectiveColor();
virtual ~SelectiveColor();
int adjust(InputArray src, OutputArray dst); //实施可选颜色调整
};
} /* namespace cv */
#endif /* OPENCV2_PS_SELECTIVECOLOR_HPP_ */
SelectiveColor.cpp
#include "SelectiveColor.hpp"
#define DEBUG
#ifndef DEBUG
#define DEBUG_PRINT(a)
#define PRINT_VAR(var)
#define PRINT_VAR1(var)
#define PRINT_VARF(var)
#else
#include <iostream>
using namespace std;
#define DEBUG_PRINT(a) cout << (a) << endl
#define PRINT_VAR(var) cout << #var << " = " << (var) << endl
#define PRINT_VAR1(var) if ( nn == 0 ) cout << #var << " = " << int(var) << endl
#define PRINT_VARF(var) if ( nn == 0 ) cout << #var << " = " << double(var) << endl
#endif
#define SWAP(a, b, t) do { t = a; a = b; b = t; } while(0)
#define CLIP_RANGE(value, min, max) ( (value) > (max) ? (max) : (((value) < (min)) ? (min) : (value)) )
#define COLOR_RANGE(value) CLIP_RANGE(value, 0, 255)
#define MAX2(a, b) ( (a) > (b) ) ? (a) : (b)
#define MAX3(a,b,c) ( ( a > b ) ? MAX2(a,c) : MAX2(b,c) )
#define BLUE 0
#define GREEN 1
#define RED 2
namespace cv {
SelectiveColorAdjust:: SelectiveColorAdjust()
{
cyan = 1.0;
magenta = 1.0;
yellow = 1.0;
black = 1.0;
defined = false;
}
SelectiveColorAdjust::~SelectiveColorAdjust()
{
}
void SelectiveColorAdjust::calcDefined()
{
if (cyan != 1.0 || magenta != 1.0 || yellow != 1.0 || black != 1.0 ) {
defined = true;
return;
}
defined = false;
}
//=========================================================
// SelectiveColor
SelectiveColor::SelectiveColor() {
isAbsolute = false;
}
SelectiveColor::~SelectiveColor() {
}
int SelectiveColor::adjust(InputArray src, OutputArray dst)
{
Mat input = src.getMat();
if( input.empty() ) {
return -1;
}
dst.create(src.size(), src.type());
Mat output = dst.getMat();
//calculate color adjustment is defined
for(int i = 0; i < 9; i++ ) {
colors[i].calcDefined();
}
const uchar *in;
uchar *out;
int width = input.cols;
int height = input.rows;
int channels = input.channels();
int nn = 0;
uchar t; //temp
uchar sorted[3]; //RGB value sorted
uchar c[SELECT_BLACK + 1];
float delta[3]; //delta of RGB value
float ratio[3], ratio_positive[3], ratio_negative[3];
for (int h = 0; h < height; h ++, nn++) {
in = input.ptr<uchar>(h); //pointer to input image data
out = output.ptr<uchar>(h); //pointer to output image data
for (int w = 0; w < width; w ++) {
//Sort RGB values: sorted[0] is biggest, sorted[1] is middle, sorted[2] is smallest
memcpy(sorted, in, 3);
if (sorted[1] > sorted[0]) SWAP(sorted[0], sorted[1], t);
if (sorted[2] > sorted[1]) SWAP(sorted[1], sorted[2], t);
if (sorted[1] > sorted[0]) SWAP(sorted[0], sorted[1], t);
//calculation c[] array
memset(c, sizeof(c), 0);
c[SELECT_BLUE] = in[BLUE];
c[SELECT_GREEN] = in[GREEN];
c[SELECT_RED] = in[RED];
//subtract the smallest value from the RGB
c[SELECT_BLUE] -= sorted[2];
c[SELECT_GREEN] -= sorted[2];
c[SELECT_RED] -= sorted[2];
//calculate WHIT, MIDDLE, BLACK
if ( sorted[2] <= 127 ) {
c[SELECT_WHITE] = 0;
c[SELECT_MIDDLE] = sorted[2] * 2;
c[SELECT_BLACK] = 255 - sorted[2] * 2;
} else {
c[SELECT_WHITE] = sorted[2] * 2 - 255;
c[SELECT_MIDDLE] = 255 - ( sorted[2] - 127.5 ) * 2;
c[SELECT_BLACK] = 0;
}
//calculate YELLOW
if ( c[SELECT_RED] > 0 && c[SELECT_GREEN] > 0 ) {
c[SELECT_YELLOW] = ( c[SELECT_RED] > c[SELECT_GREEN] ) ? c[SELECT_GREEN] : c[SELECT_RED];
c[SELECT_GREEN] -= c[SELECT_YELLOW];
c[SELECT_RED] -= c[SELECT_YELLOW];
};
//calculate CYAN
if ( c[SELECT_BLUE] > 0 && c[SELECT_GREEN] > 0 ) {
c[SELECT_CYAN] = ( c[SELECT_BLUE] > c[SELECT_GREEN] ) ? c[SELECT_GREEN] : c[SELECT_BLUE];
c[SELECT_GREEN] -= c[SELECT_CYAN];
c[SELECT_BLUE] -= c[SELECT_CYAN];
};
//calculate MAGENTA
if ( c[SELECT_BLUE] > 0 && c[SELECT_RED] > 0 ) {
c[SELECT_MAGENTA] = ( c[SELECT_BLUE] > c[SELECT_RED] ) ? c[SELECT_RED] : c[SELECT_BLUE];
c[SELECT_RED] -= c[SELECT_MAGENTA];
c[SELECT_BLUE] -= c[SELECT_MAGENTA];
};
//initialize delta[]
delta[BLUE] = delta[GREEN] = delta[RED] = 0;
//initialize ratios
for(int i = 0; i < 3 ; i++ ) {
ratio_positive[i] = in[i] / 255.0;
ratio_negative[i] = ratio_positive[i] - 1 ;
}
//calculate each selective color
for (int j = 0; j <= SELECT_BLACK; j++ ) {
if ( colors[j].defined && (c[j] > 0) ) {
if ( isAbsolute ) {
ratio[RED] = colors[j].cyan + colors[j].black;
ratio[RED] = CLIP_RANGE(ratio[RED], ratio_negative[RED], ratio_positive[RED]);
ratio[GREEN] = colors[j].magenta + colors[j].black;
ratio[GREEN] = CLIP_RANGE(ratio[GREEN], ratio_negative[GREEN], ratio_positive[GREEN]);
ratio[BLUE] = colors[j].yellow + colors[j].black;
ratio[BLUE] = CLIP_RANGE(ratio[BLUE], ratio_negative[BLUE], ratio_positive[BLUE]);
} else {
ratio[RED] = colors[j].cyan + ::abs(colors[j].cyan + 1) * colors[j].black;
ratio[RED] = CLIP_RANGE(ratio[RED], -1, 1);
ratio[RED] = ( ratio[RED] > 0 ) ? ratio[RED] * ratio_positive[RED] : - ratio[RED] * ratio_negative[RED];
ratio[GREEN] = colors[j].magenta + ::abs(colors[j].magenta + 1) * colors[j].black;
ratio[GREEN] = CLIP_RANGE(ratio[GREEN], -1, 1);
ratio[GREEN] = ( ratio[GREEN] > 0 ) ? ratio[GREEN] * ratio_positive[GREEN] : - ratio[GREEN] * ratio_negative[GREEN];
ratio[BLUE] = colors[j].yellow + ::abs(colors[j].yellow + 1) * colors[j].black;
ratio[BLUE] = CLIP_RANGE(ratio[BLUE], -1, 1);
ratio[BLUE] = ( ratio[BLUE] > 0 ) ? ratio[BLUE] * ratio_positive[BLUE] : - ratio[BLUE] * ratio_negative[BLUE];
}
delta[RED] -= c[j] * ratio[RED];
delta[GREEN] -= c[j] * ratio[GREEN];
delta[BLUE] -= c[j] * ratio[BLUE];
}
}
//save to output
out[BLUE] = COLOR_RANGE( in[BLUE] + delta[BLUE] );
out[GREEN] = COLOR_RANGE( in[GREEN] + delta[GREEN] );
out[RED] = COLOR_RANGE( in[RED] + delta[RED] );
//move pointer forward
in += 3;
out += 3;
for (int j = 0; j < channels - 3; j++) {
*out++ = *in++;
}
}
}
return 0;
}
} /* namespace cv */
【完整演示代码下载地址】
https://download.csdn.net/download/FL1623863129/88600788
