Texture in skin images: Comparison of three methods to determine smoothness-Reference-Cited by-同舟云学术

Texture in skin images: Comparison of three methods to determine smoothness

Published:1992-05 Issue:3 Volume:16 Page:179-190
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Stoecker Williarn V.,Chiang Chang-Sung,Moss Randy H.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference14 articles.

1. Screening for melanoma/skin cancer. Theoretic and practical considerations;Koh;J. Am. Acad. Dermatol.,1989

2. Textural properties for pattern recognition;Hawkins,1970

3. Computer vision;Ballard,1982

4. Further studies of texture classification using random field model;Khotanzad,1986

5. A model-based method for rotation invariant texture classification;Kashyap;IEEE Trans. Pattern Anal. Machine Intell.,1986

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