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Proceedings Paper

Segmentation of burn images based on color and texture information
Author(s): Carmen Serrano; Begona Acha; Jose Ignacio Acha
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Paper Abstract

In this paper a color image segmentation algorithm for its application to burn wound images is proposed. It takes into accoutn both color and texture information to perform the segmentation. We used the perceptually uniform CIE L*u*v* color space. Texture information is considered by extracting a small trimming from the part to be segmented. Then this mask is slid along the image and a transformed image is calculated, where each pixel is the sum of Euclidean distances in the L*u*v* color coordinates between all the color values in the mask and the pixels under it. Afterwards the transformed image must be thresholded to obtain the segmented image. The threshold is automatically determined by a modification of Otsu's method. We have tested the algorithm with 30 images, obtaining very good results in most of them.

Paper Details

Date Published: 15 May 2003
PDF: 8 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481357
Show Author Affiliations
Carmen Serrano, Univ. of Seville (Spain)
Begona Acha, Univ. of Seville (Spain)
Jose Ignacio Acha, Univ. of Seville (Spain)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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