Question

matlab图像处理函数

求几个MATLAB彩色图像处理的函数，就是读入图像然后处理一下就可以了，不求高深的。

Answer 1

function W = Classify(ImageFile)
% Step 1: Read image Read in
RGB = imread('C:\\test.bmp');%前提图像在该目录下
figure,
imshow(RGB),
title('Original Image');%原始图像

% Step 2: Convert image from rgb to gray
GRAY = rgb2gray(RGB);
figure,
imshow(GRAY),
title('Gray Image');%灰度图像

% Step 3: Threshold the image Convert the image to black and white in order
% to prepare for boundary tracing using bwboundaries.
threshold = graythresh(GRAY);
BW = im2bw(GRAY, threshold);
figure,
imshow(BW),
title('Binary Image');%二值图像

% Step 4: Invert the Binary Image
BW = ~ BW;
figure,
imshow(BW),
title('Inverted Binary Image');%倒二值图像

% Step 5: Find the boundaries Concentrate only on the exterior boundaries.
% Option 'noholes' will accelerate the processing by preventing
% bwboundaries from searching for inner contours.
[B,L] = bwboundaries(BW, 'noholes');

% Step 6: Determine objects properties
STATS = regionprops(L, 'all'); % we need 'BoundingBox' and 'Extent'

% Step 7: Classify Shapes according to properties
% Square = 3 = (1 + 2) = (X=Y + Extent = 1)
% Rectangular = 2 = (0 + 2) = (only Extent = 1)
% Circle = 1 = (1 + 0) = (X=Y , Extent < 1)
% UNKNOWN = 0

figure,
imshow(RGB),
title('Results');
hold on
for i = 1 : length(STATS)
W(i) = uint8(abs(STATS(i).BoundingBox(3)-STATS(i).BoundingBox(4)) < 0.1);
W(i) = W(i) + 2 * uint8((STATS(i).Extent - 1) == 0 );
centroid = STATS(i).Centroid;
switch W(i)
case 1
plot(centroid(1),centroid(2),'wO');
case 2
plot(centroid(1),centroid(2),'wX');
case 3
plot(centroid(1),centroid(2),'wS');
end
end
return

Answer 2

load
trees是加载一个图像
im2bw是一个将图像文件转换成二元图像（黑白的）的函数，X是要转换文件的名字，是事先读入的，你试试，找一个图像，然后[X,map]=imread(‘你的图像所在的路径及名字’)；然后用imshow(X,map)
显示出刚读入的图像。
然后再。