|
Published Articles >> Table of Contents >> Abstract
14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01)
p. 0375
Morphological Templates for Extracting Texture Information in X-Ray Mammography
Fyzodeen Khan, University of Rhode Island
Ying Sun, University of Rhode Island
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941748
Send link to a friend
| Abstract |
|
Abstract: This paper 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, 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.
|
 Additional Information
|
Citation:
Fyzodeen Khan, Ying Sun,
"Morphological Templates for Extracting Texture Information in X-Ray Mammography,"
cbms,
p. 0375,
14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01),
2001
|
|
