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| Title: | A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images |
| Author (s): | Stanley, R. Joe Stoecker, William V. Moss, Randy Hays Rabinovitz, Harold S. Cognetta Jr., Armand B. Argenziano, Giuseppe Soyer, H. Peter |
| Department/Lab Affiliations: | Electrical and Computer Engineering Image Processing Laboratory |
| Keywords: | Basis function color fuzzy logic histogram image processing malignant melanoma |
| Issue Date: | 2008-03 |
| Publisher: | Wiley/ Blackwell (Formerly Blackwell or Blackwell Synergy) |
| Citation: | Stanley, R.J., Stoecker, W.V.; Moss, R.H.,Rabinovitz, H.S., Cognetta Jr., A.B., Argenziano, G., Soyer, H.P. “A Basis Function Feature-Based Approach for Skin Lesion Discrimination in Dermatology Dermoscopy Images.” Skin Research and Technology, 2008. |
| Abstract: | Skin lesion color is an important feature for diagnosing malignant melanoma. New basis function correlation features are proposed for discriminating malignant melanoma lesions from benign lesions in dermoscopy images. The proposed features are computed based on correlating the luminance histogram of melanoma or benign labeled relative colors from a specified portion of the skin lesion with a set of basis functions. These features extend previously developed statistical and fuzzy logic-based relative color histogram analysis techniques for automated mapping of colors representative of melanoma and benign skin lesions from a training set of lesion images. |
| Type: | Article - Journal text |
| In Title: | Skin Research and Technology |
| Copyright Notice: | Pre-print: author can archive; Post-print: author can archive This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: |
| Publisher URL: | |
| Link to this page: |
| title | A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images |
| contributor.author | Stanley, R. Joe |
| contributor.author | Stoecker, William V. |
| contributor.author | Moss, Randy Hays |
| contributor.author | Rabinovitz, Harold S. |
| contributor.author | Cognetta Jr., Armand B. |
| contributor.author | Argenziano, Giuseppe |
| contributor.author | Soyer, H. Peter |
| contributor.deptlab | Electrical and Computer Engineering |
| contributor.deptlab | Image Processing Laboratory |
| subject | Basis function |
| subject | color |
| subject | fuzzy logic |
| subject | histogram |
| subject | image processing |
| subject | malignant melanoma |
| date.issued | 2008-03 |
| publisher | Wiley/ Blackwell (Formerly Blackwell or Blackwell Synergy) |
| identifier.citation | Stanley, R.J., Stoecker, W.V.; Moss, R.H.,Rabinovitz, H.S., Cognetta Jr., A.B., Argenziano, G., Soyer, H.P. “A Basis Function Feature-Based Approach for Skin Lesion Discrimination in Dermatology Dermoscopy Images.” Skin Research and Technology, 2008. |
| identifier.pub.URI | |
| description.abstract | Skin lesion color is an important feature for diagnosing malignant melanoma. New basis function correlation features are proposed for discriminating malignant melanoma lesions from benign lesions in dermoscopy images. The proposed features are computed based on correlating the luminance histogram of melanoma or benign labeled relative colors from a specified portion of the skin lesion with a set of basis functions. These features extend previously developed statistical and fuzzy logic-based relative color histogram analysis techniques for automated mapping of colors representative of melanoma and benign skin lesions from a training set of lesion images. |
| type | Article - Journal |
| type.DCMIType | text |
| type.status | Postprint |
| rights | Pre-print: author can archive; Post-print: author can archive |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights.URI | |
| rights.URI | |
| relation.isPartOf | Skin Research and Technology |
| date.available | 2008-07-22T19:56:38Z |
| identifier.persist.URI |