fuzzy spatial filtering code

Image Domains

Spatial domain
Refers to the image plane itself
Image processing methods are based and directly applied to image pixels
Transform domain
Transforming an image into a transform domain, doing the processing there and obtaining the results back into the spatial domain

Two principle categories of spatial processing:

Intensity transformation
Spatial filtering
Intensity transformation operate on single pixels of an image
Contrast manipulation
Image thresholding

Spatial filtering dea ....etc

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kindly give me matlab code for impulse noise detect and removal by fuzzy technique ....etc

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introduction
Image segmentation can be defined as the process of
dividing the image on non-intersecting Uniform
regions. These homogeneous areas, as a rule, we Have
Similar items of interest or A part of them.
homogeneity of segmented areas can be
Measurements shall be carried out by using some image properties (e. g. Pixel
The Intensity). On the other hand, clustering can be
is defined as the optimal partitioning of the specified set p
the data points in the subgroups so that data points
Belonging to the same group as similar to each
While oth ....etc

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To get more information about the topic noise reduction by fuzzy image filtering please refer the page link below

http://seminarsprojects.net/Thread-noise-reduction-by-fuzzy-image-filtering--7175

http://seminarsprojects.net/Thread-noise-reduction-by-fuzzy-image-filtering--5871

http://seminarsprojects.net/Thread-noise-reduction-by-fuzzy-image-filtering--8758

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A simple fuzzy method to remove mixed
Gaussian-impulsive noise from colour images ....etc

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A Fuzzy Similarity Approach for Automated Spam Filtering IEE java

Abstract:
E-mail spam has become an epidemic problem that can negatively affect the usability of electronic mail as a communication means. Besides wasting users time and effort to scan and delete the massive amount of
junk e-mails received; it consumes network bandwidth and storage space, slows down e-mail servers, and provides a medium to distribute harmful and/or offensive content. Several machine learning approaches have been applied to this problem. In this pa ....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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