명암대비와 에지 선예도를 이용하는 영역 성장법에 이한 디지털 X선 맘모그램 영상에서의 미세 석회화 검출
Microcalcification Detection Based on Region Growing Method with Contrast and Edge Sharpness in Digital X-ray Mammographic Images
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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.
참고문헌 (12)
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