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
Language:English
English
Published: Universiti Malaysia Sarawak (UNIMAS) 2007
Subjects:
Online Access:http://ir.unimas.my/id/eprint/6728/1/Lau.pdf
http://ir.unimas.my/id/eprint/6728/4/Lau%20Leh%20Teen.pdf
http://ir.unimas.my/id/eprint/6728/
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