Texture features in the classification of melanocytic lesions

  • Jukka Kontinen
  • Juha Röning
  • Rona M. MacKie
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)


The use of different texture features for the classification of melanocytic lesions is studied in an attempt to develop a computerized method for the early detection of melanoma. The computer laboratory at the University of Oulu has a strong tradition in applications of computer vision to visual inspection for industrial quality control, and some of the methods learnt in these applications are being transferred and experimented with in this medical context. This include the utilization of texture distributions for classification purposes.

To avoid the effect of different photographing systems, all the images are first converted to intensity images and then the lesion parts are divided into 3202 rectangles in order to obtain the maximal number of non-overlapping samples. The divided images are then normalized by z-score transformation and texture feature distributions are counted for the rectangular samples and classified into melanoma and benign nevus with a k-nearest neighbour classifier. 78–99% of the test samples were found to be classified correctly, depending on the texture feature used.


Texture Feature Local Binary Pattern Melanocytic Lesion Dysplastic Nevus Benign Nevus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Jukka Kontinen
    • 1
  • Juha Röning
    • 1
  • Rona M. MacKie
    • 2
  1. 1.Machine Vision and Media Processing Group, Infotech Oulu and Department of Electrical EngineeringUniversity of OuluOuluFinland
  2. 2.Department of Dermatology, Robertson BuildingUniversity of GlasgowGlasgowEngland

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