Pattern classification of nevus with texture analysis

T. Tanaka, S. Torii, I. Kabuta, K. Shimizu, M. Tanaka, H. Oka

Research output: Contribution to journalConference article

Abstract

The purpose of this research is to classify the pattern on the surface of the nevus. The digital image that contains one nevus is classified into three kinds of patterns of homogeneous pattern, globular pattern, and reticular pattern by the texture analysis. The tumor part in the image is specified first, and the specified tumor part is divided into some sub-images. Afterwards, the amount of the texture features of each sub-image was calculated. The pattern was classified by the discriminant analysis based on the amount of the texture features. As a result, the patterns could be classified correctly into three categories at the ratio of 94%.

Original languageEnglish
Pages (from-to)1459-1462
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 II
Publication statusPublished - 2004 Dec 1
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: 2004 Sep 12004 Sep 5

    Fingerprint

Keywords

  • Nevus
  • Pattern classification
  • Texture analysis

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this