Matlab中的矩形求和

Question

我有一个代码不能按我想要的方式工作。问题是我需要一张图片中所有rctangle的总和，如下所示。

我的代码：

imH = size(I, 1);
imW = size(I, 2);

windowWidth = 30;
windowHeight = 30;
step = 1;
for r = 1:step:imH - windowHeight + 1
for c = 1:step:imW - windowWidth + 1

Win = I(r:r + windowHeight - 1, c:c + windowWidth - 1, :);
post =[c r windowHeight windowWidth];

我想我这里缺少金额

%stop = waitforbuttonpress; 

subplot(121); imshow(I); title 'Image';
hold on;  
rectangle('Position', pos, 'EdgeColor', 'r');
hold off;
subplot (122); imshow(W); title 'ooo';
drawnow;
pause(0.0000001);

end 
end

一切都很好，但我需要单独求和每个矩形值

Answer 1

您只需要在第一个和第二个rgb间隔中添加&，如下所示：

matchNh = (R > 45 & R < 180) & (G > 50 & G < 185) & (B > 160 & B < 215);  
matchNd = (R > 40 & R < 115) & (G > 6 & G < 80) & (B > 10 & B < 75);

然后你正确地计算非零像素，即

Nh = nnz(matchNh);
Nd = nnz(matchNd);

如果你想用于多个图像，那么你可以在两个for循环之外使用另一个for循环，例如

imgnames = dir('*.jpg');    % get list of jpg images in current directory
NN = length(imgnames)
%sliding window size
windowWidth = 64;
windowHeight = 64;
%step
step = 64;
Nh = 0;
Nd = 0;
for ii = 1 : NN
I = imread(imgnames(ii).name);
% your code i.e. two for loops as you have written above
imH = size(I, 1);
imW = size(I, 2);

for r = 1:step:imH - windowHeight + 1
for c = 1:step:imW - windowWidth + 1
%sliding window value
W = I(r:r + windowHeight - 1, c:c + windowWidth - 1, :);
pos =[c r windowHeight windowWidth];
R = W(:,:,1);
G = W(:,:,2);
B = W(:,:,3);
% RGB intervals for every sliding window
matchNh = (R > 45 & R < 180) & ...
(G > 50 & G < 185) & ...        
(B > 160 & B < 215);  
matchNd = (R > 40 & R < 115) & ...
(G > 6 & G < 80) & ...
(B > 10 & B < 75);
Nh = Nh + nnz(matchNh);
Nd = Nd + nnz(matchNd);

end
end
PIc = Nd / (Nh + Nd)
end