Title :
Volterra Filter design for edge enhancement of mammogram lesions
Author :
Pandey, Ashutosh ; Yadav, Ankesh ; Bhateja, Vikrant
Author_Institution :
Deptt. of Electron. & Commun., SRMGPC, Lucknow, India
Abstract :
Non-linear filters have the property to enhance and preserve edges of lesion. Detection of edges of tumour is required in application such as to evaluate effectiveness of breast cancer treatment. Proposed algorithm uses polynomial filtering technique to enhance the contrast of lesion while preserving its edges with effective suppression of background noise. This algorithm successfully detected edges of lesion in digital mammograms taken from DDSM mammogram database. Also different metrics were used to establish effectiveness of enhancement and noise suppression in mammograms.
Keywords :
cancer; edge detection; image enhancement; mammography; medical image processing; nonlinear filters; patient treatment; DDSM mammogram database; Volterra filter design; background noise suppression; breast cancer treatment; digital mammograms; edge enhancement; lesion edge preservation; lesion enhancement; mammogram lesions; nonlinear filters; polynomial filtering technique; tumour edge detection; Breast cancer; Image edge detection; Lesions; Maximum likelihood detection; Noise; Noise measurement; Nonlinear filters; Contrast Improvement Index (CII); DDSM; Otsu´s thresholding; non-linear filtering; polynomial filter;
Conference_Titel :
Advance Computing Conference (IACC), 2013 IEEE 3rd International
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4673-4527-9
DOI :
10.1109/IAdCC.2013.6514401