我修改了我的代码以进行细分处理。但我得到一个"指数超过矩阵维度"错误。代码如下。
for z = 1: 300
name1 = strcat ('data (',int2str(z),').png');
name2 = strcat ('D:\1. Thesis FINISH!!!\Data set\0 Isolated Dataset\Advertising Bold 14\source\', name1);
a = imread (name2);
myFolder = 'D:\1. Thesis FINISH!!!\Data set\0 Segmented Character\coba';
%% Binarization %%
level = graythresh (a);
b = im2bw (a, level);
%% Complement %%
c = imcomplement (b);
%% PadArray %%
i=padarray(c,[0 10]);
%% Vertical Projecttion for Character Segmentation
verticalProjection = sum(i, 1);
set(gcf, 'Name', 'Segmentation Trial', 'NumberTitle', 'Off')
subplot(2,2,1);imshow(i);
subplot(2,2,3);
plot(verticalProjection, 'b-');
grid on;
% *Defining the threshold to determine baseline area* %
threshold=max(verticalProjection)/3;
% threshold=min(verticalProjection)/3;
% threshold = 5; % Threshold >0 used to detect the baseline of cursive characters
thresholdedProjection=verticalProjection > threshold;
count=0;
startingColumnsIndex=0;
for j =1:length(thresholdedProjection)
if thresholdedProjection(j)
if(count>0)
startingColumnsIndex=startingColumnsIndex+1;
startingColumns(startingColumnsIndex)= j-floor(count/2);
count=0;
end
else
count=count+1;
end
end
endingColumns=[startingColumns(2:end)-1 j-floor(count/2)];
% *Extract each region, result of segmentation process* %
y=1;
for k = 1 : length(startingColumns)
% Get sub image of just one character
subImage = i(:, startingColumns(k):endingColumns(k));
% im = subImage;
s = subImage;
% Normalization using algorithm 2 %
p = normalization2 (s);
subplot(2,2,2);
imagesc (p);
axis equal off;
pause (1);
% figure,
imshow (p);
% Morphological Operation - Thinning %
t = bwmorph(p,'thin',Inf);
end
% savename = char (strcat (myFolder, name1));
imwrite (t, fullfile (myFolder, sprintf ('data.%d.png', y)));
y = y+1;
end;
我有300个单词的图像数据,我需要分割所有图像'将数据转换为字符图像,并将它们保存为每个分段字符的不同文件。我需要按顺序保存它。
我已经尝试改变
subImage = i(:, startingColumns(k):endingColumns(k));
到
subImage = i( startingColumns(k):endingColumns(k),:);
但它仍然没有奏效。我不知道代码有什么问题。有人可以解释和帮助吗?
答案 0 :(得分:1)
您可能希望更改第64行k
中的endingColumns(k)
。从代码看,startingColumns
与endingColumns
的元素数量相同。