How to refine SLIC Algorithm output [closed]
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So I am working on my FYP on SLIC algorithm where I have to implement it on FPGA so at the first stage, I am implementing it on MATLAB. Now I know I can find MATLAB codes online but I have my reasons. Now I have successfully implemented it on MATLAB but the result of inbuilt MATLAB function superixels() is much more refined than my code result. The boundaries are also much smoother. Can anyone guide me on how to refine my superpixels boundaries? Secondly the MATLAB function delivers much finer result than my code. How can I improve this?Thirdly I am using k-means approch where I initially start from square superpixels but the MATLAB command returns arbitrarly shaped superpixels whereas my code returns 99% squares. Is this the reason? If so than what should be the approch?
My code output
MATLAB inbuilt function output
matlab
asked Nov 10 at 15:57
Usman Mani
11
closed as off-topic by Wolfie, Sardar Usama, Luis Mendo, nkjt, Dev-iL Nov 11 at 8:09
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "Questions seeking debugging help ("why isn't this code working?") must include the desired behavior, a specific problem or error and the shortest code necessary to reproduce it in the question itself. Questions without a clear problem statement are not useful to other readers. See: How to create a Minimal, Complete, and Verifiable example." – Sardar Usama, Luis Mendo, Dev-iL
If this question can be reworded to fit the rules in the help center, please edit the question.
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up vote
-2
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So I am working on my FYP on SLIC algorithm where I have to implement it on FPGA so at the first stage, I am implementing it on MATLAB. Now I know I can find MATLAB codes online but I have my reasons. Now I have successfully implemented it on MATLAB but the result of inbuilt MATLAB function superixels() is much more refined than my code result. The boundaries are also much smoother. Can anyone guide me on how to refine my superpixels boundaries? Secondly the MATLAB function delivers much finer result than my code. How can I improve this?Thirdly I am using k-means approch where I initially start from square superpixels but the MATLAB command returns arbitrarly shaped superpixels whereas my code returns 99% squares. Is this the reason? If so than what should be the approch?
My code output
MATLAB inbuilt function output
matlab
asked Nov 10 at 15:57
Usman Mani
11
closed as off-topic by Wolfie, Sardar Usama, Luis Mendo, nkjt, Dev-iL Nov 11 at 8:09
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "Questions seeking debugging help ("why isn't this code working?") must include the desired behavior, a specific problem or error and the shortest code necessary to reproduce it in the question itself. Questions without a clear problem statement are not useful to other readers. See: How to create a Minimal, Complete, and Verifiable example." – Sardar Usama, Luis Mendo, Dev-iL
If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
up vote
-2
down vote
favorite
up vote
-2
down vote
favorite
So I am working on my FYP on SLIC algorithm where I have to implement it on FPGA so at the first stage, I am implementing it on MATLAB. Now I know I can find MATLAB codes online but I have my reasons. Now I have successfully implemented it on MATLAB but the result of inbuilt MATLAB function superixels() is much more refined than my code result. The boundaries are also much smoother. Can anyone guide me on how to refine my superpixels boundaries? Secondly the MATLAB function delivers much finer result than my code. How can I improve this?Thirdly I am using k-means approch where I initially start from square superpixels but the MATLAB command returns arbitrarly shaped superpixels whereas my code returns 99% squares. Is this the reason? If so than what should be the approch?
My code output
MATLAB inbuilt function output
matlab
asked Nov 10 at 15:57
Usman Mani
11
So I am working on my FYP on SLIC algorithm where I have to implement it on FPGA so at the first stage, I am implementing it on MATLAB. Now I know I can find MATLAB codes online but I have my reasons. Now I have successfully implemented it on MATLAB but the result of inbuilt MATLAB function superixels() is much more refined than my code result. The boundaries are also much smoother. Can anyone guide me on how to refine my superpixels boundaries? Secondly the MATLAB function delivers much finer result than my code. How can I improve this?Thirdly I am using k-means approch where I initially start from square superpixels but the MATLAB command returns arbitrarly shaped superpixels whereas my code returns 99% squares. Is this the reason? If so than what should be the approch?
My code output
MATLAB inbuilt function output
matlab
matlab
asked Nov 10 at 15:57
Usman Mani
11
asked Nov 10 at 15:57
Usman Mani
11
asked Nov 10 at 15:57
Usman Mani
11
asked Nov 10 at 15:57
Usman Mani
11
asked Nov 10 at 15:57
Usman Mani
11
11
closed as off-topic by Wolfie, Sardar Usama, Luis Mendo, nkjt, Dev-iL Nov 11 at 8:09
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "Questions seeking debugging help ("why isn't this code working?") must include the desired behavior, a specific problem or error and the shortest code necessary to reproduce it in the question itself. Questions without a clear problem statement are not useful to other readers. See: How to create a Minimal, Complete, and Verifiable example." – Sardar Usama, Luis Mendo, Dev-iL
If this question can be reworded to fit the rules in the help center, please edit the question.
closed as off-topic by Wolfie, Sardar Usama, Luis Mendo, nkjt, Dev-iL Nov 11 at 8:09
This question appears to be off-topic. The users who voted to close gave this specific reason:
- "Questions seeking debugging help ("why isn't this code working?") must include the desired behavior, a specific problem or error and the shortest code necessary to reproduce it in the question itself. Questions without a clear problem statement are not useful to other readers. See: How to create a Minimal, Complete, and Verifiable example." – Sardar Usama, Luis Mendo, Dev-iL
If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
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