Title :
Morphological templates for extracting texture information in X-ray mammography
Author :
Khan, Fyzodeen ; Sun, Ying
Author_Institution :
Dept. of Electr. & Comput. Eng., Rhode Island Univ., RI, USA
Abstract :
Describes a new filter to enhance lesions in X-ray mammograms by extracting texture information within a morphological template. A circular ring template is used to characterize the morphological features for certain types of lesions. Three texture-related features (standard deviation, skew and kurtosis) are applied within the template for visual enhancement of the lesions. The results showed that the ring template enhanced visualization of a typical lesion by creating a “halo” response surrounding the lesion. The standard deviation, skew and kurtosis were sensitive to roughness, the presence of peaks and abrupt changes in the texture of the mammograms. Of the 45 lesions, 87% were enhanced using standard deviation, 84% by skew and 80% by kurtosis
Keywords :
diagnostic radiography; image enhancement; image texture; mammography; mathematical morphology; medical image processing; rough surfaces; spatial filters; surface texture; X-ray mammography; abrupt texture changes; circular ring template; halo response; image filter; kurtosis; lesion enhancement; morphological feature characterization; morphological templates; peaks; roughness; skew; standard deviation; texture information extraction; texture-related features; Cancer; Data mining; Density measurement; Filters; Image analysis; Image databases; Lesions; Mammography; Pixel; Shape;
Conference_Titel :
Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-1004-3
DOI :
10.1109/CBMS.2001.941748