MATLAB: Sir shows an error in line2

super pixel segmentation

A = imread('athira.jpg'); [L,N] = superpixels(A,168); figure BW = boundarymask(L); imshow(imoverlay(A,BW,'cyan'),'InitialMagnification',67)

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Your code works correctly (with a different image) when I run it.

Note that the superpixels function was introduced in R2016a. If you have an earlier version of MATLAB and the Image Processing Toolbox, you will not be able to use it.

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MATLAB: Area calculation for patches

I = imread('capture1.jpg');
 [L,N] = superpixels(I,100);
 figure
BW = boundarymask(L);
imshow(imoverlay(I,BW,'cyan'),'InitialMagnification',67)
% Area of each patch 
A = zeros(N,1) ;
for i = 1:N
    A(i) = nnz(L==i) ;  % area in pixels 
end

MATLAB: Thin the boundary of objects of black & white images

Use imerode.

From Matlab documentation:

IM2 = imerode(IM,SE) erodes the grayscale, binary, or packed binary image IM, returning the eroded image IM2. The argument SE is a structuring element object or array of structuring element objects returned by the strel function.

Example:

Erode a binary image with a disk structuring element.

originalBW = imread('circles.png');  
se = strel('disk',11);        
erodedBW = imerode(originalBW,se);
imshow(originalBW), figure, imshow(erodedBW)

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Related Solutions

MATLAB: Area calculation for patches

MATLAB: Thin the boundary of objects of black & white images

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