彩色图像-图像增强图像锐化

今天写的博客有点多，因为这里的理论只是在前面已经详细介绍过了，所以多写点，好有时间来学习模式分类和图像特征点部分，请大家多多指教。 #算法说明彩色图像锐化用到的算法还是灰度图像中所用的算法，在彩色图像中的应用可以直接对RGB三通道分别锐化然后合并，也可以对HSI中的I分量进行锐化，然后再得到锐化图像。具体算法知识： 1、拉普拉斯算子 2、Sobel算子 3、Robert算子

代码

废话不多说，直接上代码：

void SharpenRGB(RGB *src,RGB *dst,int width,int height,double c,int Sharpen_type){
    double *chanel_r=(double*)malloc(sizeof(double)*width*height);
    double *chanel_g=(double*)malloc(sizeof(double)*width*height);
    double *chanel_b=(double*)malloc(sizeof(double)*width*height);
    double *chanel_r_dst=(double*)malloc(sizeof(double)*width*height);
    double *chanel_g_dst=(double*)malloc(sizeof(double)*width*height);
    double *chanel_b_dst=(double*)malloc(sizeof(double)*width*height);
    Split(src, chanel_r, chanel_g, chanel_b, width, height);
    switch (Sharpen_type) {
        case SHARPEN_LAPLACE:{
            LaplaceSharpen(chanel_r, chanel_r_dst, width, height, c);
            LaplaceSharpen(chanel_g, chanel_g_dst, width, height, c);
            LaplaceSharpen(chanel_b, chanel_b_dst, width, height, c);
            break;
        }
        case SHARPEN_SOBEL:{
            SobelSharpen(chanel_r, chanel_r_dst, width, height, c);
            SobelSharpen(chanel_g, chanel_g_dst, width, height, c);
            SobelSharpen(chanel_b, chanel_b_dst, width, height, c);
            break;
        }
        case SHARPEN_ROBERT:{
            RobertSharpen(chanel_r, chanel_r_dst, width, height, c);
            RobertSharpen(chanel_g, chanel_g_dst, width, height, c);
            RobertSharpen(chanel_b, chanel_b_dst, width, height, c);
            break;
        }
        default:
            break;
    }

    Merge(chanel_r_dst, chanel_g_dst, chanel_b_dst, dst, width, height);
    free(chanel_r);
    free(chanel_g);
    free(chanel_b);
    free(chanel_r_dst);
    free(chanel_g_dst);
    free(chanel_b_dst);
}

void SharpenHSI(HSI *src,HSI *dst,int width,int height,double c,int Sharpen_type){
    double *chanel_i=(double*)malloc(sizeof(double)*width*height);
    double *chanel_i_dst=(double*)malloc(sizeof(double)*width*height);
    Split(src, NULL, NULL, chanel_i, width, height);
    switch (Sharpen_type) {
        case SHARPEN_LAPLACE:{
            LaplaceSharpen(chanel_i, chanel_i_dst, width, height, c);
            break;
        }
        case SHARPEN_SOBEL:{
            SobelSharpen(chanel_i, chanel_i_dst, width, height, c);
            break;
        }
        case SHARPEN_ROBERT:{
            RobertSharpen(chanel_i, chanel_i_dst, width, height, c);
            break;
        }
        default:
            break;
    }
    for(int i=0;i<width*height;i++){
        dst[i].c1=src[i].c1;
        dst[i].c2=src[i].c2;
        dst[i].c3=chanel_i_dst[i];
    }
    free(chanel_i);
    free(chanel_i_dst);
}