how do i get the matrix index to agree

i have two images which have been image processed how to get the two images to have the same matrix index, i have used matlab to calculate the values of x, y and x1, y1:

>> size(x)

ans =

        142505           1

>> size(y)

ans =

        142505           1

>> size(x1)

ans =

        176868           1
  >> size(y1)

ans =

        176868           1

 this is what i am getting but i need to perform a calculation to try and make these images the same.

Answer 1

[Image Analyst]

Do you have a 2D grayscale image, or a 3D RGB color image? x, y, x1, and y1 look like 1D arrays. What do they represent? Four one-dimensional grayscale images?

[Walter Roberson]

142505 is not divisible by 3, so they are not RGB.

[Kbhatti86]

it is 2D grayscale image

[Image Analyst]

Right. Size() would also have given 3 as a third output argument if that were the case. I just have no idea what they (x,y,x1,y1) represent, and what is the "index" and what is the "image".

[Kbhatti86]

BW1=im2bw(E); BW1=~BW1; BW2 = bwperim(E,8); image1=BW2; [x1 y1]=find(image1==1); ba=[x1 y1];

then this is analyse for a freeman chain code, the image is of a hand image , the index is a chaincode matrix (very long one too)

[Image Analyst]

Why not just use bwboundaries()?

[Kbhatti86]

the whole code does include boundaries P=imread('khalil hand1.jpg'); %% Show Image imshow(P);

%start to track hand warning off stats:kmeans:EmptyCluster; rawImage = P; a_gray = rgb2gray(P); figure, imshow(P); figure, imshow(a_gray); T=wiener2(a_gray); figure,imshow(T); figure, imhist(a_gray); subplot (1,2,1), imshow(a_gray); subplot (1,2,2), imhist(a_gray); E=edge(T,'sobel'); figure, imshow(E) axis on xlabel x ylabel y iptsetpref imshowAxesVisible on I = rawImage; cform = makecform('srgb2lab'); J = applycform(I,cform); ab = double(J(:,:,2:3)); nrows = size(ab,1); ncols = size(ab,2); ab = reshape(ab,nrows*ncols,2); nColors = 2; [cluster_idx cluster_center] = kmeans(ab,nColors,'distance','sqEuclidean', ... 'Replicates',2); pixel_labels = reshape(cluster_idx,nrows,ncols); segmented_images = cell(1,2); rgb_label = repmat(pixel_labels,[1 1 3]); %% BW1=im2bw(E); BW1=~BW1; BW2 = bwperim(E,8); image1=BW2; [x y]=find(image1==1); ba=[x y];

%I=imread('close.jpg'); %h=fspecial('average', 9); %g=imfilter(E, h, 'replicate'); %gB=im2bw(g, 0.5); B = bwboundaries(BW2, 'holes'); d = cellfun('length', B); [maxd, k] = max(d); b = B{k}; [M N] = size(B); %g = bound2im(b, M, N); [s, su] = bsubsamp(b, 50); %g2 = bound2im(s, M, N); cn = connectpoly(s(:, 1), s(:, 2)); %g3 = bound2im(cn, M, N); C = fchcode(BW2, 8);