Feature extraction and classification :a case study of classifying a simulated digital mammogram images using self-organizing maps (som)

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Feature extraction and classification :a case study of classifying a simulated digital mammogram images using self-organizing maps (som)

Feature extraction is important in image processing and is a preliminary step to perform pattern classification. This project aims to propose a feature extraction technique. This feature extraction technique can be used to find five parameters which are the size, intensi...

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Bibliographic Details
Main Author:	Lau, Leh Teen.
Format:	Final Year Project Report / IMRAD
Language:	English English
Published:	Universiti Malaysia Sarawak (UNIMAS) 2007
Subjects:	H Social Sciences (General)
Online Access:	http://ir.unimas.my/id/eprint/6728/ http://ir.unimas.my/id/eprint/6728/1/Lau.pdf http://ir.unimas.my/id/eprint/6728/4/Lau%20Leh%20Teen.pdf

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