计算图像块中的像素数

Question

在附加的代码中，程序将图像分成块并尝试计算每个块的每行中的白色像素的数量。原始图片如下。

问题在于代码有效地计算整个图像中的像素的次数，即我将图像分割的次数而不是每个单独的块。

如果有人对如何使该程序识别图像的每个块（我认为这是主要问题）有任何改进，那么它将解决这个问题。

谢谢！

:::: EDIT ::::

我已经解决了我的问题，然而这是一个新的挑战（耶）。此代码的结果给出了输出：

rows =

   148
   217
   475
   521
   567
   724


thickness =

    69
   258
    46
    46
   157

plotindex = 2,   c=2, r=1

rows =

   148
   217
   475
   596
   650
   716


thickness =

    69
   258
   121
    54
    66

我想存储＆＃34;厚度＆＃34;数组中的值（列中分隔白色像素的黑色像素数），以便稍后处理此数据。

%%%%%%%%%%%%%%%%%%%%%%%

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
workspace;  % Make sure the workspace panel is showing.
fontSize = 20;

rgbImage = imread('http://i.imgur.com/gnmVFLq.png');
%just any image for reference


% Display image full screen.
imshow(rgbImage);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
drawnow;
% Get the dimensions of the image.  numberOfColorBands should be = 3.
[rows columns numberOfColorBands] = size(rgbImage)

%==========================================================================
% The first way to divide an image up into blocks is by using mat2cell().
blockSizeR = 844; % Rows in block.
blockSizeC = 665; % Columns in block.

% Figure out the size of each block in rows.
% Most will be blockSizeR but there may be a remainder amount of less than that.
wholeBlockRows = floor(rows / blockSizeR);
blockVectorR = [blockSizeR * ones(1, wholeBlockRows), rem(rows, blockSizeR)];
% Figure out the size of each block in columns.
wholeBlockCols = floor(columns / blockSizeC);
blockVectorC = [blockSizeC * ones(1, wholeBlockCols), rem(columns, blockSizeC)];

% Create the cell array, ca. 
% Each cell (except for the remainder cells at the end of the image)
% in the array contains a blockSizeR by blockSizeC by 3 color array.
% This line is where the image is actually divided up into blocks.
if numberOfColorBands > 1
    % It's a color image.
    ca = mat2cell(rgbImage, blockVectorR, blockVectorC, numberOfColorBands);
else
    ca = mat2cell(rgbImage, blockVectorR, blockVectorC);
end

% Now display all the blocks.
plotIndex = 1;
numPlotsR = size(ca, 1);
numPlotsC = size(ca, 2);

for r = 1 : numPlotsR;
    for c = 1 : numPlotsC;


        fprintf('plotindex = %d,   c=%d, r=%d\n', plotIndex, c, r);
        % Specify the location for display of the image.
        subplot(numPlotsR, numPlotsC, plotIndex);
        % Extract the numerical array out of the cell
        rgbBlock = ca{r,c};
        imshow(rgbBlock); % Could call imshow(ca{r,c}) if you wanted to.
        [rowsB columnsB numberOfColorBandsB] = size(rgbBlock);
        % Make the caption the block number.
        caption = sprintf('Block #%d of %d\n%d rows by %d columns', ...
            plotIndex, numPlotsR*numPlotsC, rowsB, columnsB);
        title(caption);
        drawnow;
        % Increment the subplot to the next location.

        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
        %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
        imBinary = double(im2bw(rgbBlock)); %//Convert to binary, 
                              %// then make double for sum
histogram = sum(imBinary,2); %// Compute row-wise histograms
stem(1:size(imBinary,1), histogram); %// Histogram of white pixels
xlabel('Row number');
ylabel('White pixel count');
grid;


diffs = diff([0; histogram]);
threshold = 100; %// Threshold that determines whether it is black or white
rows = find(diffs >= threshold)

thickness = diff(rows)


        plotIndex = plotIndex + 1;
    end
end