# How can I solve this problem?

1 view (last 30 days)
Syed Zenith Rhyhan on 13 Jul 2019
Here I attached the warning problem of error. How can I solve this? My source code has been attached here.

dpb on 13 Jul 2019
Use the debugger to step through and see where your logic error is in trying to access too many elements.
One possibility you may not have coded for is that your selection algorithm returned nothing owing to the input image not being able to be processed successfully with whatever algorithm you're using so that even if "Nlargest" is 1 it still fails.
A test for isempty() before you make the attempt would catch that problem.
Syed Zenith Rhyhan on 14 Jul 2019
I can't clearly Understand the problem Sir

Image Analyst on 14 Jul 2019
You chose a threshold where there were no blobs. Pick a threshold where you actually have some blobs present.
But you can't because, for some reason, you're trying to segment in HSV colorspace when your image is grayscale. Because R = G = B, there are no colors and so the hue and saturation channels are all zero, and since you use that to threshold, your threshold is zero and your image is zero, hence no blobs at all. Just because you have three color channels doesn't mean that the image will have hue or saturation.
Do not segment a gray scale image in any color space such as RGB or HSV. Just call rgb2gray()
grayImage = rgb2gray(rgbImage);
or take any one of the color channels:
grayImage = rgbImage(:, :, 2); % Use the green channel.

Syed Zenith Rhyhan on 14 Jul 2019
Sir,I can't understand in which place i put this code please show me in the code Image Analyst
Image Analyst on 14 Jul 2019
Here's a start. Adapt/continue as needed.
%%Author: Zarreen Naowal Reza
%%Email: zarreen.naowal.reza@gmail.com
clc;
clear all;
close all;
fontSize = 20;
% Display the image.
subplot(2, 3, 1);
imshow(rgbImage, []);
title('Original Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');
axis('on', 'image');
hp = impixelinfo();
% Get the dimensions of the image.
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(rgbImage)
if numberOfColorChannels > 1
% It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
% grayImage = rgb2gray(rgbImage);
% ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
grayImage = rgbImage(:, :, 2); % Take green channel.
else
grayImage = rgbImage; % It's already gray scale.
end
% Now it's gray scale with range of 0 to 255.
%------------------------------------------------------------------------------
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0.04, 1, 0.96]);
% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')
drawnow;
hp = impixelinfo;
% Make histogram.
subplot(2, 3, 2);
imhist(grayImage);
grid on;
title('Histogram', 'FontSize', fontSize);
%--------------------image threshoiding-------------------------------
threshold = 90;
mask = grayImage > threshold ;
subplot(2, 3, 3);
% Find the areas of all the blobs
props = regionprops(mask, 'Area');
allAreas = sort([props.Area], 'Descend')
% Get rid of blobs smaller than 100 pixels.
% Get rid of the skull. Skull will be label #1 since it's the outermost blob.
[labeledImage, numBlobs] = bwlabel(mask);
skullMask = ismember(labeledImage, 1);
% Get mask without skull -- the tumor(s).
insideMask = ismember(labeledImage, 2:numBlobs);
% Optional: fill holes
% Display the image.
subplot(2, 3, 4);
title('Tumor Mask', 'FontSize', fontSize, 'Interpreter', 'None');
axis('on', 'image');
% Mask the original image.
maskedImage = grayImage; % Intialize
% Display the image.
subplot(2, 3, 5);
title('Masked Image', 'FontSize', fontSize, 'Interpreter', 'None');
axis('on', 'image');
Syed Zenith Rhyhan on 14 Jul 2019
Thanks a lot Sir

R2014a