DocumentCode :
571534
Title :
Enhancement of Microcalcification Features Using Morphology and Contourlet Transform
Author :
Lakshmanan, Rekha ; Thomas, Vinu
Author_Institution :
Dept. of Electron. & Commun. Eng., Gov. Model Eng. Coll., Thrikkakra Ernakulam, India
fYear :
2012
fDate :
9-11 Aug. 2012
Firstpage :
14
Lastpage :
17
Abstract :
The proposed method utilizes morphology and contourlet transform for early detection of breast cancer by enhancing micro calcification features. This CAD technique helps the radiologists in reaching a better assessment. The significant edge information indicating the relevant features in various decomposition levels were preserved while removing the artifacts. Target to background contrast ratio, Contrast and Peak Signal to Noise ratio are considered for performance evaluation of the enhancement algorithm. The mini-MIAS mammographic database was employed for testing the accuracy of the proposed method and the results were promising.
Keywords :
biological organs; cancer; decomposition; image enhancement; mammography; medical image processing; object detection; radiology; wavelet transforms; CAD technique; contourlet transform; decomposition levels; early breast cancer detection; edge information; enhancement algorithm; microcalcification features; mini-MIAS mammographic database; peak signal to noise ratio; radiologists; target-to-background contrast ratio; Breast cancer; Filter banks; Image edge detection; Image resolution; Morphology; Wavelet transforms; contourlet transform; mammogram; microcalcification; morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computing and Communications (ICACC), 2012 International Conference on
Conference_Location :
Cochin, Kerala
Print_ISBN :
978-1-4673-1911-9
Type :
conf
DOI :
10.1109/ICACC.2012.4
Filename :
6305544
Link To Document :
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