to get information about the topic image denoising using fuzzy logic related topic refer the page link bellow

http://seminarsprojects.net/Thread-design-of-hybrid-filter-for-denoising-images-using-fuzzy-network-and-edge-detecting ....etc

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hello i need matlab code for face recognition using fuzzy logic with this subject a Fuzzy Clustering Approach for Face
Recognition Based on Face Feature Lines and
Eigenvectors ....etc

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To get full information or details of image segmentation using fuzzy logic matlab code please have a look on the pages

http://slidesharepokejishnu/image-segmentation-using-wvlt-trnsfrmtn-and-fuzzy-logic-ppt

if you again feel trouble on image segmentation using fuzzy logic matlab code please reply in that page and ask specific fields in image segmentation using fuzzy logic matlab code ....etc

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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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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 developed the first fuzz ....etc

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I want to use fuzzy logic in my project for image enhancement. ....etc

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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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Matlab code for Pixel level Image fusion using Minimum Method

The minimum selecting method, being yet another trivial image fusion method, is very similar to the Maximum Selection method; except for, here, the selection criteria differs as the pixel with minimum density is picked up. Thus, for every pixel position, the pixel of the fused image will be the pixel of the corresponding position from the input set of images having the least pixel intensity value. Similar to the Maximum Selection method, this method to either completely considers th ....etc

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adaptive fuzzy k means clustering algorithm for image segmentation matlab code

Abstract

Clustering algorithms have successfully been applied as a digital image segmentation technique in various fields and applications. However, those clustering algorithms are only applicable for specific images such as medical images, microscopic images etc. In this paper, we present a new clustering algorithm called Adaptive Fuzzy-K-means (AFKM) clustering for image segmentation which could be applied on general images and/or specific images (i.e., medical a ....etc

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matlab code for image segmentation using fuzzy based split and merge in medical images

In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as superpixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of ....etc

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