使用径向基函数图像重建?

                             %加载一个例子(颜色)的形象
                            
                             corn_rgb = imread (“corn.tif”2);
                            
                             %得到像素行,像素列、颜色通道(3)
                            
                             imsize =大小(corn_rgb);
                            
                             %显示图象
                            
                             imshow (corn_rgb)
                            
                             %建立新形象来操作
                            
                             corn_rgb2 = corn_rgb;
                            
                             %“识别”被破坏像素
                            
                             idx_bad = (500 - 13506);
                            
                             %定义补丁的程度。你是2(每个方向像素+ 2 = 5 x5),但20更明显
                            
                             patch_n = 20;
                            
                             为印第安纳州= idx_bad
                            
                             %从线性找到行和列索引
                            
                             (行,坳)= ind2sub (imsize(1:2),印第安纳州);
                            
                             %计算行和关口
                            
                             patch_rows =行+ [-patch_n patch_n):;
                            
                             patch_cols =坳+ [-patch_n patch_n):;
                            
                             %确保你不要离开边缘
                            
                             patch_rows (patch_rows < 1 | patch_rows > imsize (1)) = [];
                            
                             patch_cols (patch_cols < 1 | patch_rows > imsize (2)) = [];
                            
                             %做点什么。在这里,我把补丁白色
                            
                             corn_rgb2 (patch_rows patch_cols:) = 255;
                            
                             结束
                            
                             imshow (corn_rgb2)