Converting image to suitable form?

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Jason 2011-6-23

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Hi there, I need some help here.

Basically, I have this image (gesture). http://www.flickr.com/photos/jokerzy89/5862926331/sizes/l/in/photostream/

So, this image has to pass through a filter (Gabor Filter), and I figured out that the size of the image does affect the time taken for the process to complete. Thus, I tweaked a little with the dimension of the image prior to the filtering process and came up with 2 sets of output.

Size of image (before passing it through the filter) unchanged. http://www.flickr.com/photos/jokerzy89/5862929339/sizes/l/in/photostream/
Image resized to 256 by 256 (before filtering). http://www.flickr.com/photos/jokerzy89/5863480928/sizes/m/in/photostream/

Next, I intend to calculate the moments of these 2 images, however, I have no idea how to proceed. My guess is that these images have to be converted to that of type logical before I can calculate the respective moments.

Refer to this question that was asked yesterday: http://www.mathworks.com/matlabcentral/answers/10022-creating-2d-geometric-shapes I might need to thin the contour lines of the hand gesture.

To summarize things, I need help with manipulating the output images in such a way that the white edges are preserved. So, the new output would be something like white hand contour lines on a black background. Also, it is best that the contour lines be thinned.

Can anyone please help me? Thanks!

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Sean de Wolski 2011-6-23

Moment of whole hand or of fingers?

Jason 2011-6-23

Hi Sean, it would be the whole hand.

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Answer 1

Sean de Wolski 2011-6-23

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https://ww2.mathworks.cn/matlabcentral/answers/10108-converting-image-to-suitable-form#answer_13932

在 MATLAB Online 中打开

I personally always try to work a logical map of the target. This segments the hand and gives you a logical map and a map edge if you want that too.

%%Your image
I = imread('ans623.jpg');
%Image Map
[M Medge] = shrinkWrap(255-I(:,:,3),'objthresh',4500);
%check?
subplot(121),
imshow(I);
title('Original Image');
subplot(122)
imshow(bsxfun(@times,uint8(M),I));
title('Map applied');
%Do stuff with M.

FEX:shrinkWrap

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Jason 2011-6-23

Sean, I appreciate your work, but may I add something? (I hope I could make myself understood as English is not my first language, I apologize if I am mistaken)

I tried 'doing stuff' with M, which was passing it through the (Gabor) filter, and I got this (call this output A).

http://www.flickr.com/photos/jokerzy89/5863831688/in/photostream

The purpose of using Gabor Filter is to extract the features of the hand, and this includes the lines (is 'lines' the correct word here?) between the fingers. Refer to this link. Call this output B. http://www.flickr.com/photos/jokerzy89/5862929339/sizes/l/in/photostream/

So, the difference is quite evident, for output A, I only got the contour lines of the hand (which is good), while for output B, I got the 'blurry' contour lines, including the desired lines between the fingers. That, in fact, is one of the objectives of using the filter, ie making it possible to detect the extra lines in between. Now, what I need is to transform B so that all the (extra & contour) lines would be appropriate for me to proceed to the next classification stage (I guess I need to convert image B to one of type logical, before the moment calculation comes into picture).

Refer to this link: http://en.wikipedia.org/wiki/File:ABC_pict.png

Note that for gesture M and N, the filtered images could both have contour lines that are quite similar to each other, that is why I am using Gabor Filter, in the hope that when I pass the input images through the filter, I would be able to differentiate the 2 outputs.

Sean de Wolski 2011-6-23

Depends on what you mean by clean up. My first goal in any image processing project is to make a map. That way further computations need only be applied to the parts I care about.

Jason 2011-6-23

I don't know but I feel that it's too late to start with this map thingy. Maybe some other time, when my project is over. I am going to learn this. Thanks a ton!

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