Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/27777
Title: A combined statistical and Structural approach for texture Analysis and its usage in medical Image analysis
Researcher: Umarani C
Guide(s): Radhakrishnan S
Keywords: Image Processing
Information and Communication engineering
Upload Date: 12-Nov-2014
University: Anna University
Completed Date: 01/11/2007
Abstract: Texture Analysis has been a study of Image Processing group of newlinepeople quite recently Since the advent of high processing computing facility newlineand mass storage devices the use of computers for image processing became newlinepopular Digital image analysis has been in the active research area for the newlinepast two decades because of its application in various fields Digital images newlineare broadly categorized into two types namely textured and un textured In newlineun textured images the underlying assumption is that the intensity of the newlinepixel is uniform over a defined region whereas the real life objects abraded newlineworn surfaces satellite medical images often exhibit non uniform gray level newlinevariation They are called textured images These texture analysis approaches newlineare grouped into statistical structural or spectral For statistical approaches popular schemes suggested so far include newline newline
Pagination: xviii, 175p.
URI: http://hdl.handle.net/10603/27777
Appears in Departments:Faculty of Information and Communication Engineering

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04_acknowledgement.pdf6.75 kBAdobe PDFView/Open
05_content.pdf28.95 kBAdobe PDFView/Open
06_chapter1.pdf109.32 kBAdobe PDFView/Open
07_chapter2.pdf233.54 kBAdobe PDFView/Open
08_chapter3.pdf669.77 kBAdobe PDFView/Open
09_chapter4.pdf451.22 kBAdobe PDFView/Open
10_chapter5.pdf166.89 kBAdobe PDFView/Open
11_chapter6.pdf830.33 kBAdobe PDFView/Open
12_chapter7.pdf13.99 kBAdobe PDFView/Open
13_reference.pdf84.02 kBAdobe PDFView/Open
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15_vitae.pdf6.63 kBAdobe PDFView/Open
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