我在matlab中遇到了一些我不明白的问题下面的代码分析了一组图像,并应该返回一个连贯的图像(而且总是这样)。
但是由于我在第二个for循环中设置了if条件(为了优化),它返回一个隔行图像。
我不明白为什么,正准备把我的电脑扔出窗外我怀疑这与ind2sub
有关,但据我所知,一切正常有人知道它为什么这么做吗?
function imageMedoid(imageList, resizeFolder, outputFolder, x, y)
% local variables
medoidImage = zeros([1, y*x, 3]);
alphaImage = zeros([y x]);
medoidContainer = zeros([y*x, length(imageList), 3]);
% loop through all images in the resizeFolder
for i=1:length(imageList)
% get filename and load image and alpha channel
fname = imageList(i).name;
[container, ~, alpha] = imread([resizeFolder fname]);
% convert alpha channel to zeros and ones, add to alphaImage
alphaImage = alphaImage + (double(alpha) / 255);
% add (r,g,b) values to medoidContainer and reshape to single line
medoidContainer(:, i, :) = reshape(im2double(container), [y*x 3]);
end
% loop through every pixel
for i=1:(y * x)
% convert i to coordinates for alphaImage
[xCoord, yCoord] = ind2sub([x y],i);
if alphaImage(yCoord, xCoord) == 0
% write default value to medoidImage if alpha is zero
medoidImage(1, i, 1:3) = 0;
else
% calculate distances between all values for current pixel
distances = pdist(squeeze(medoidContainer(i,:,1:3)));
% convert found distances to matrix of distances
distanceMatrix = squareform(distances);
% find index of image with the medoid value
[~, j] = min(mean(distanceMatrix,2));
% write found medoid value to medoidImage
medoidImage(1, i, 1:3) = medoidContainer(i, j, 1:3);
end
end
% replace values larger than one (in alpha channel) by one
alphaImage(alphaImage > 1) = 1;
% reshape image to original proportions
medoidImage = reshape(medoidImage, y, x, 3);
% save medoid image
imwrite(medoidImage, [outputFolder 'medoid_modified.png'], 'Alpha', alphaImage);
end
我没有包括整个代码,只是这个函数(为了简洁起见),如果有人需要更多(为了更好地理解它),请让我知道,我会包括它。
最佳答案
当你调用ind2sub
时,你给出了大小[x y]
,但是实际的alphaImage
的大小是[y x]
,所以你不能用xCoord
和yCoord
索引正确的位置。