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Title: image enhancement based on fuzzy logic matlab
Page Link: image enhancement based on fuzzy logic matlab -
Posted By:
Created at: Tuesday 27th of November 2012 09:33:25 AM
what is fuzzy image enhancement using matlab, image enhancement fuzzy logic codes, buddy logic in matlab, pdf fuzzy logic matlab, matlab tutorial ppt fuzzy logic, fuzzy enhancement logic using matlab coding, fuzzy logic image processing ppt,

Respecred Sir,
I am a Ph. D. student working in the area of image enhancement
I need the MATLAB code for image enhancement based on fuzzy logic.
Please get me this code as early as possible.
Thanks
Tripti Goel ....etc

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Title: matlab code for image enhancement using fuzzy logic
Page Link: matlab code for image enhancement using fuzzy logic -
Posted By:
Created at: Tuesday 14th of February 2012 11:46:01 PM
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how fuzzy logic can be used to enhance the image in matlab ....etc

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Title: matlab code for image segmentation using fuzzy based split and merge in medical images
Page Link: matlab code for image segmentation using fuzzy based split and merge in medical images -
Posted By:
Created at: Sunday 18th of October 2015 06:30:28 PM
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i want to implement Fuzzy-Based Split-and-Merge Algorithm (FBSM) on my medical image dermoscopy skin but i dont know how , some one help me to tell me the steps . thank you
....etc

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Title: Fuzzy Logic and Fuzzy Sets
Page Link: Fuzzy Logic and Fuzzy Sets -
Posted By: seminar addict
Created at: Saturday 28th of January 2012 06:57:22 PM
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Fuzzy Logic and Fuzzy Sets


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories ....etc

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Title: matlab code for image denoising using fuzzy logic
Page Link: matlab code for image denoising using fuzzy logic -
Posted By:
Created at: Wednesday 23rd of January 2013 08:38:27 PM
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i am in need of matlab code for image denoising using fuzzy logic ....etc

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Title: adaptive fuzzy k means clustering algorithm for image segmentation matlab code
Page Link: adaptive fuzzy k means clustering algorithm for image segmentation matlab code -
Posted By:
Created at: Wednesday 22nd of May 2013 04:35:30 PM
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Adaptive fuzzy k means clustering algorithm for image segemntion matlab code. ....etc

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Title: matlab code for image fusion using fuzzy logic type 2
Page Link: matlab code for image fusion using fuzzy logic type 2 -
Posted By:
Created at: Tuesday 14th of October 2014 05:24:16 PM
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matlab code for image fusion using fuzzy logic type2
I DID NOT GET THE CODE...it is for my mtech main project ....etc

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Title: adaptive fuzzy k means clustering algorithm for image segmentation matlab code
Page Link: adaptive fuzzy k means clustering algorithm for image segmentation matlab code -
Posted By:
Created at: Wednesday 22nd of May 2013 04:41:17 PM
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Adaptive fuzzy k means clustering algorithm for image segemntion matlab code. ....etc

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Title: image segmentation using fuzzy logic matlab code
Page Link: image segmentation using fuzzy logic matlab code -
Posted By:
Created at: Friday 04th of March 2016 11:18:56 AM
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That is coll, i think it would help me a lot. ....etc

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Title: FUZZY-LOGIC BASED INFORMATION FUSION FOR IMAGE SEGMENTATION
Page Link: FUZZY-LOGIC BASED INFORMATION FUSION FOR IMAGE SEGMENTATION -
Posted By: smart paper boy
Created at: Monday 20th of June 2011 06:14:11 PM
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ABSTRACT
It is required to cluster the images for finding groups of data together in many fields such as Marketing, Biology, Libraries, Insurance, City-Planning. The project involves the implementation of Fuzzy based information fusion for image segmentation. Here we first perform image segmentation on different cues. The Fuzzy-c-means clustering algorithm is used for segmentation of each cue space. In any field, where finding a group of similar region in an image is the task then the clustering technique should be u ....etc

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