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function rgb = seismic(n); % seismic(n) creates a colormap, ranging from dark blue via white to dark %red. % % Nico Sneeuw % Munich, 31/08/94 if nargin == 0, n = size(get(gcf,'colormap'),1);

%调入与显示RGB图像 RGB = imread('peppers.png'); isrgb(RGB); figure(1); imshow(RGB); %RGB图转换为灰度图像 I = rgb2gray(RGB); figure(2); imshow(I); colorbar('horiz'); isgray(I); %边缘检测 ED = edge(I,'sobel',0

%载入图像 RGB = imread('saturn.png'); %RGB转换为灰度图 I = rgb2gray(RGB); %加入高斯白噪声 J = imnoise(I,'gaussian',0,0.005); %采用自适应滤波 K = wiener2(J,[5 5]); %显示原始图像、加入噪声的图像以及滤波后的噪声 imshow(I) figure,imshow(J)

RGB = imread('saturn.png'); I = rgb2gray(RGB); h = [1 2 1; 0 0 0; -1 -2 -1]; I2 = filter2(h,I); imshow(I2,[]), colorbar

%载入图像 load trees %RGB转换为灰度图 I = ind2gray(X,map); imshow(I) %指定特定区域，并进行填充 I2 = roifill; imshow(I2)

%载入图像 RGB = imread('autumn.tif'); figure(1); imshow(RGB); %将真彩图转换为灰度图 I = rgb2gray(RGB); figure(2); imshow(I); %进行余弦变换 J = dct2(I); figure(3); imshow(log(abs(J)),[]); colormap(jet(64)); c

BODY { background-color: rgb(255,255,255); font-size : 10pt; color : rgb(0,0,102); } P { font-family : "Verdana", sans-serif; font-size : 10pt; color : rgb(0,0,102); }

// Get a pixel int rgb = bufferedImage.getRGB(x, y); // Get all the pixels int w = bufferedImage.getWidth(null); int h = bufferedImage.getHeight(null); int[] rgbs = new

This example demonstrates how to create a filter that can modify any of the RGB pixel values in an image. // This filter removes all but the red values in an image class GetRedFilter extend

RGB = imread('flowers.tif'); NTSC = rgb2ntsc(RGB); subplot(121) imshow(RGB) title('原RGB图像') subplot(122) imshow(NTSC(:,:,1)) title('变换后的NTSC图像')