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Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification

Brahim Belhaouari, samir and ibrahima, faye and Mohamed M. , Eltoukhy (2009) Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification. Rovisp 2009 .

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Abstract

Image features extraction is an important step in image processing techniques. The features of digital images can be extracted directly from the spatial data or from a different space. Using a different space by special data transforms such wavelet can be helpful to extract specific characteristics from a data. Wavelets prove an efficient representation of image. It decomposes an image into subbands, approximation, horizontal, vertical and diagonal. This paper presents an attempt to find which subband that could be better to used for mammogram classification to detect and diagnose the breast cancer.

Item Type:Article
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Fundamental & Applied Sciences
ID Code:2715
Deposited By: Dr Samir Brahim Belhaouari
Deposited On:18 Aug 2010 08:39
Last Modified:19 Jan 2017 08:25

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