几种不同的彩色图像转灰度方法

最近在分析几个开源图像处理程序时,发现了几种不同的彩色图像转灰度方法,方法都很简单,也非常容易理解,但是效果还是有明显不同。在介绍计算方法前,先要说说亮度(lightness)与照度(luminosity)的区别。亮度(lightness),指的是人在看到光源时,眼睛感觉到的光亮度。照度(luminosity),,指的是光源照射到物体上,单位被照射面积上的光通量。可以说,亮度是物体反射光到眼里的强弱,是人的一种主观感觉;而照度是光源照在物体上的强弱,是一种客观的物理量。同样的光源、同样的距离照在白纸和黑纸上,亮度不同,照度相同。下面是简单代码示例:

1. 基于均值的方法:

uchar *pSrcImg = src.data;for (int i = 0; i < src.rows; i++){for (int j = 0; j < src.cols; j++, pSrcImg += 3){double average = (pSrcImg[0] + pSrcImg[1] + pSrcImg[2]) / 3;pSrcImg[0] = (uchar)MIN(255, average);pSrcImg[1] = (uchar)MIN(255, average);pSrcImg[2] = (uchar)MIN(255, average);}}

2. 基于亮度的方法:

uchar *pSrcImg = src.data;for (int i = 0; i < src.rows; i++){for (int j = 0; j < src.cols; j++, pSrcImg += 3){uchar max_val = MAX(pSrcImg[0], pSrcImg[1]);max_val = MAX(max_val, pSrcImg[2]);uchar min_val = MIN(pSrcImg[0], pSrcImg[1]);min_val = MIN(min_val, pSrcImg[2]);double lightness = (max_val + min_val) / 2;pSrcImg[0] = (uchar)MIN(255, lightness);pSrcImg[1] = (uchar)MIN(255, lightness);pSrcImg[2] = (uchar)MIN(255, lightness);}}

3. 基于照度的方法:

// HDTV with BT.709uchar *pSrcImg = src.data;for (int i = 0; i < src.rows; i++){for (int j = 0; j < src.cols; j++, pSrcImg += 3){double luminosity = pSrcImg[0] * 0.0722 + pSrcImg[1] * 0.7152 + pSrcImg[2] * 0.2126;pSrcImg[0] = (uchar)MIN(255, luminosity);pSrcImg[1] = (uchar)MIN(255, luminosity);pSrcImg[2] = (uchar)MIN(255, luminosity);}}// SDTV with BT.601uchar *pSrcImg = src3.data;for (int i = 0; i < src.rows; i++){for (int j = 0; j < src.cols; j++, pSrcImg += 3){double luminosity = pSrcImg[0] * 0.114 + pSrcImg[1] * 0.587 + pSrcImg[2] * 0.299;pSrcImg[0] = (uchar)MIN(255, luminosity);pSrcImg[1] = (uchar)MIN(255, luminosity);pSrcImg[2] = (uchar)MIN(255, luminosity);}} 下面是上述几种转换方法的效果图:

不如意的时候不要尽往悲伤里钻,想想有笑声的日子吧

几种不同的彩色图像转灰度方法

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