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#if !defined(CONST_H) #define CONST_H #include "math.h" #define ONE_ROBOT #define round(x) ( (int) (x + 0.5) ) #define sqr(x) ( x * x ) #define PI 3.1415926535 static CBrush CYAN(RGB(

#if !defined(CONST_H) #define CONST_H #include "math.h" #define ONE_ROBOT #define round(x) ( (int) (x + 0.5) ) #define sqr(x) ( x * x ) #define PI 3.1415926535 static CBrush CYAN(RGB(

[Inputs] clk pixel color bla [Outputs] end_l hs =rgb[5:0]= [BiDir] =dot1[9:0]=

NET "clk88" LOC = "p88"; NET "hs" LOC = "p23"; NET "vs" LOC = "p26"; NET "rgb" LOC = "p12"; NET "rgb" LOC = "p13"; NET "rgb" LOC = "p19"; NET "rgb" LOC = "p20"; NET "rgb" LOC = "

function ycbcr = rgb2ycbcr(varargin) %RGB2YCBCR Convert RGB color values to YCbCr color space. % YCBCRMAP = RGB2YCBCR(MAP) converts the RGB values in MAP to the YCBCR % color space. MAP must be a

%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