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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| Format: | Final Year Project Report / IMRAD |
| Language: | English English |
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Universiti Malaysia Sarawak (UNIMAS)
2007
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| 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 |