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http://dx.doi.org/10.5369/JSST.2004.13.1.056

Microcalcification Detection Based on Region Growing Method with Contrast and Edge Sharpness in Digital X-ray Mammographic Images  

Won, C.H. (Dept. of Compute Control Eng., Kyungil University)
Kang, S.W. (School of Electrical Engineering and Computer Science, Kyungpook National University)
Cho, J.H. (School of Electrical Engineering and Computer Science, Kyungpook National University)
Publication Information
Journal of Sensor Science and Technology / v.13, no.1, 2004 , pp. 56-65 More about this Journal
Abstract
In this paper, we proposed the detection algorithm of microcalcification based on region growing method with contrast and edge sharpness in digital X-ray mammographic images. We extracted the local maximum pixel and watershed regions by using watershed algorithm. Then, we used the mean slope between local maximum and neighborhood pixels to extract microcalcification candidate pixels among local maximum pixels. During increasing threshold value to grow microcalcification region, at the maximum threshold value of the contrast and edge sharpness, the microcalcification area is decided. The regions of which area of grown candidate microcalfication region is larger than that of watershed region are excluded from microcalcifications. We showed the diagnosis algorithm can be used to aid diagnostic-radiologist in the early detection breast cancer.
Keywords
microcalcification; digital X-ray mammogram; breast cancer;
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