Author(s): Guillaume Kom | Alain Tiedeu | Martin Kom | John Ngundam
Journal: Signal & Image Processing
ISSN 2229-3922
Volume: 3;
Issue: 1;
Start page: 19;
Date: 2012;
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Keywords: Computer-aided-detection | contrast-enhancement | segmentation | binarization
ABSTRACT
In this paper, we implement and carry out the comparison of two methods of computer-aided-detection ofmasses on mammograms. The two algorithms basically consist of 3 steps each: segmentation, binarizationand noise suppression using different techniques for each step. A database of 60 images was used to compare the performance of the two algorithms in terms of general detection efficiency, conservation of size and shape of detected masses.
Journal: Signal & Image Processing
ISSN 2229-3922
Volume: 3;
Issue: 1;
Start page: 19;
Date: 2012;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Computer-aided-detection | contrast-enhancement | segmentation | binarization
ABSTRACT
In this paper, we implement and carry out the comparison of two methods of computer-aided-detection ofmasses on mammograms. The two algorithms basically consist of 3 steps each: segmentation, binarizationand noise suppression using different techniques for each step. A database of 60 images was used to compare the performance of the two algorithms in terms of general detection efficiency, conservation of size and shape of detected masses.