[C++][opencv]基于opencv实现photoshop算法灰度化图像
测试情况】vs2019
opencv==4.8.0
【效果演示】
https://i-blog.csdnimg.cn/direct/171bb7eac04f47438a7ccba1009881e8.gif
【核心实现代码】
BlackWhite.hpp
#ifndef OPENCV2_PS_BLACKWHITE_HPP_
#define OPENCV2_PS_BLACKWHITE_HPP_
#include "opencv2/core.hpp"
namespace cv {
class BlackWhite {
public:
float red; //红色的灰度系数值，取值范围: [-1.0, 1.0]
float yellow;//黄色的灰度系数值，取值范围: [-1.0, 1.0]
float green; //绿色的灰度系数值，取值范围: [-1.0, 1.0]
float cyan; //青色的灰度系数值，取值范围: [-1.0, 1.0]
float blue; //蓝色的灰度系数值，取值范围: [-1.0, 1.0]
float magenta; //洋红色的灰度系数值，取值范围: [-1.0, 1.0]
BlackWhite();
virtual ~BlackWhite();
int adjust(InputArray src, OutputArray dst);//实施黑白调整
};
} /* namespace cv */
#endif /* OPENCV2_PS_BLACKWHITE_HPP_ */
BlackWhite.cpp
#include "BlackWhite.hpp"
#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)
//color index
typedef enum COLOR_INDEX {
INDEX_RED,
INDEX_YELLOW,
INDEX_GREEN,
INDEX_CYAN,
INDEX_BLUE,
INDEX_MAGENTA
} color_index_t;
namespace cv {
BlackWhite::BlackWhite()
{
//set to default settings
red = 0.4;
yellow = 0.6;
green = 0.4;
cyan = 0.6;
blue = 0.2;
magenta = 0.8;
}
BlackWhite::~BlackWhite() {
}
int BlackWhite::adjust(InputArray src, OutputArray dst)
{
Mat input = src.getMat();
if( input.empty() ) {
return -1;
}
dst.create(src.size(), src.type());
Mat output = dst.getMat();
int blackWhiteParams;
blackWhiteParams = CLIP_RANGE(red * 100, -100, 100);
blackWhiteParams = CLIP_RANGE(yellow* 100, -100, 100);
blackWhiteParams = CLIP_RANGE(green * 100, -100, 100);
blackWhiteParams = CLIP_RANGE(cyan * 100, -100, 100);
blackWhiteParams = CLIP_RANGE(blue * 100, -100, 100);
blackWhiteParams = CLIP_RANGE(magenta * 100, -100, 100);
const uchar *in;
uchar *out;
int channels= input.channels();
int rows = input.rows;
int cols = input.cols;
uchar gray;
int tmp;
int values;
int indexes;
int ratio_max;
int ratio_max_mid;
for (int y = 0; y < rows; y ++ )
{
in = input.ptr<uchar>(y);
out = output.ptr<uchar>(y);
for (int x = 0; x < cols; x ++)
{
//read RGB into values, set index in indexes.
values = in; values = in; values = in;
indexes=INDEX_BLUE; indexes=INDEX_GREEN; indexes=INDEX_RED;
//sort values and indexes
if ( values > values ) {
SWAP(values, values, tmp);
SWAP(indexes, indexes, tmp);
}
if ( values > values ) {
SWAP(values, values, tmp);
SWAP(indexes, indexes, tmp);
}
if ( values > values ) {
SWAP(values, values, tmp);
SWAP(indexes, indexes, tmp);
}
//get ratio_max
ratio_max = blackWhiteParams[ indexes ];
//calculate ratio_max_mid
if ( indexes == INDEX_RED ) {
tmp = (indexes == INDEX_GREEN) ? INDEX_YELLOW : INDEX_CYAN;
} elseif ( indexes == INDEX_GREEN ) {
tmp = (indexes == INDEX_RED) ? INDEX_YELLOW : INDEX_CYAN ;
} else {
tmp = (indexes == INDEX_RED) ? INDEX_MAGENTA : INDEX_CYAN;
}
ratio_max_mid = blackWhiteParams[ tmp ];
//calculate gray =(max - mid) * ratio_max + (mid - min) * ratio_max_mid + min
gray = COLOR_RANGE ( (
(values - values) * ratio_max +
(values - values) * ratio_max_mid + values * 100
) / 100 );
//save to ouput
*out++ = gray;
*out++ = gray;
*out++ = gray;
//move pointer forward
in += 3;
for (int j = 0; j < channels - 3; j++) {
*out++ = *in++;
}
}
}
return 0;
}
} /* namespace cv */
【完整演示代码下载】
https://download.csdn.net/download/FL1623863129/89633221
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