Nonlinear Diffusion Toolbox

Set of functions to perform nonlinear diffusion on images.

Description

This toolbox has functions to perform nonlinear diffusion on images. This kind of image filtering is particularly useful for reducing noise and to simplify images for further segmentation. Much of these functions are based on Perona and Malick's work, and also on J. Weickert's papers. The fast AOS diffusion is implemented. There is also 3D diffusion functions, color image diffusion and Coherence-Enhancing diffusion

• Acknowledgements: This submission has inspired the following:; Nonlinear Coupled Diffusion
• MATLAB release: MATLAB 6.5 (R13)

[Mylene Farias]

Real nice demos.

[Alessandro Tomasi]

An excellent tool! It really helps to gain a better understanding of the processes involved. Fast execution, clear comments, useful diagrams, and working examples (demos) provided. What more do you want?

[Amin Charaniya]

Very useful toolbox. Was wondering how much more work would it be to extend it to n-dim.

[Michael Bach]

This toolbox saved me a couple of days, probably weeks.
It is highly appreciated!
Thanks

[Simon Robidas]

Wonderful toolbox. Great demos, useful comments. I especially like the nldif2demo. Saved me so much time!

[ali iskurt]

  Really wonderful,
 I was trying to implement nonlinear diffusion filters based on transactions when I have seen this nonlinear diffusion filters' code , I caught the way how to do it .

[KISSI Adelaïde]

A god toolbox.

[KISSI Adelaïde]

A good toolbox.

[lin pan]

good

[Robert Schiessl]

Good stuff. Implements fast, good algorithms for
nonlinear diffusion ... never saw something nearly as good!

[Fredrick Mauser]

Excellent and fast implementation of latest NL diffusion schemes. Particularly impressed with Coherence enhancing algorithm. Uses the optimal AOS technique. Very impressive work. Thank you for the contribution!

[zhongchao shi]

very valuable implementation of nonlinear diffusion filtering.

[Ramesh Sen]

That was very helpful.

[Sharat Chikkerur]

Just what I was looking for..Thanks!

[Francesco Brun]

I may be wrong, but I think that in cedif.m at line 158 and 161 you have to divide by (alfa + eps) instead of (alfa). Anyway, you made a marvellous work. It would be great if you add Weickert's Edge Enhancing Anisotropic Diffusion too. I notice in documentation you put a reference to eedif.m but it's not included.

[François Aspert]

Very nice toolbox that save me a lot of time. With great demos and clear explanations.

[Matthias Schabel]

Very nice work - almost trivial to use the code for my application.

[Nat Anga]

Great! Very well explained, very useful. Obtained very good results!!

[Chao Wang]

Thanks for sharing.

[soheil kya]

 

[Viton Vitanis]

Thanks for sharing!

[Changhua Wu]

This toolkit is good. However I found a bug in cedif.m

I tried it on two images and each time it generates a divide-by-zero warning. I belive this two line cause the trouble:
line 158:
dd = ( c2_m_c1 .* s1_m_s2 )./(alfa);
line 161:
d12 = -(c2_m_c1).*s12./(alfa);

[dileep kumar]

Excellent work.it was very useful for bigginer like me.All lines are well commented.
Thanks alot

[jianfei ge]

Good!Thank you!!!

[rasoul khayati]

Your toolbox is good. But, let me know, how do you calculate Cm constant in nldif.m? your comment in head of this file is not sufficient. Please mail me any documentation about Cm. computation. thanks.

[Zhiming Wang]

Excellent work. Thank you!

[Chris Coello]

Really useful toolbox, working perfectly and intelligently coded. Thanks, a lot of time saved !!

[kavita Jagadal]

good

[NEgar Sani]

no comments

[tg tg]

good

[Solaree Shi]

It gave a great help in image segmentation for my further research.

[Anil N]

 

[Sun SHENG]

It is really great helpful to those who are doing PDE image process. The author is also a good gentlman . He had helped me many times about the toolbox's function.

[mops zaki]

there is bug in almost all file for example
Input argument "x" is undefined.
in fileaosiso at 16
y = zeros(size(x));

 Input argument "x" is undefined.
in file aosiso1 at 16
y = zeros(size(x));
i cant under stand why these are are coming as im using the higher version of matlab. R14

[Xiuli À=]

nice work!
but there is a tiny question, the function name of 3d nonlinear diffusion should be nldif3, not nldif, this maybe a typo.

[Aadarsh Malviya]

theres some problem in linear diffusion. I am getting colored images in nonlinear.

How can i reduce the diffusion and I am unable to undrstand the inputs takn can any one help me please [e-mail]

[Ding Yuan]

Hi Frederico,

I am translating your matlab code in to IDL, I find that in the convolution step ('gsderiv.m'), the gaussian kernel is not normalized. It is done in 1D 'kernel=kernel/sum(kernel)', however, it is important that you do it like this:
kernel_grid=meshgrid(kernel_index,kernel_index)
kernel = exp(-.5*(kernel_grid./sigma).^2)
kernel=kernel/sum(kernel)

then you do convolution

 

[ray li]

good,thanks.