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Title: Enhanced morphological and Soft morphological shape Decomposition techniques for 2d shape representation
Researcher: Vasanthanayaki, C
Guide(s): Annadurai, S
Keywords: Information and Communication engineering
Soft morphological
Upload Date: 29-Oct-2014
University: Anna University
Completed Date: 01/12/2007
Abstract: Shape Representation is the basis for shape related processing and newlineanalysis such as shape matching and recognition tasks The two major shape newlinerepresentation techniques are boundary based and region based techniques newlineThe first one analyzes shapes with the help of boundaries In contrast region newlinebased techniques represent the shapes based on the objects geometrical newlinestructure In this thesis a task of decomposing a shape image is taken and newlinetechniques to decompose the given shape effectively are proposed The prime newlineaim of this thesis is to develop techniques to represent objects in images The newlinemost important issues of shape decomposition are considered to be the newlinesimplification of algorithm minimizing redundancy in representation and newlinereduction in time Mathematical morphology is an approach to image analysis that is newlineshape oriented newline newline
Pagination: xxv, 202p.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File32.24 kBAdobe PDFView/Open
02_certificate.pdf5.74 kBAdobe PDFView/Open
03_abstract.pdf12.48 kBAdobe PDFView/Open
04_acknowledgement.pdf6.42 kBAdobe PDFView/Open
05_content.pdf49.17 kBAdobe PDFView/Open
06_chapter1.pdf255.08 kBAdobe PDFView/Open
07_chapter2.pdf361.92 kBAdobe PDFView/Open
08_chapter3.pdf515.06 kBAdobe PDFView/Open
09_chapter4.pdf329.68 kBAdobe PDFView/Open
10_chapter5.pdf463.76 kBAdobe PDFView/Open
11_chapter6.pdf340.93 kBAdobe PDFView/Open
12_reference.pdf31.53 kBAdobe PDFView/Open
13_publication.pdf13.72 kBAdobe PDFView/Open
14_vitae.pdf6.09 kBAdobe PDFView/Open

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