Segmentation of burn images based on color and texture information

Carmen Serrano; Begona Acha; Jose Ignacio Acha

doi:10.1117/12.481357

15 May 2003 Segmentation of burn images based on color and texture information

Carmen Serrano, Begona Acha, Jose Ignacio Acha

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.481357
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Carmen Serrano, Begona Acha, and Jose Ignacio Acha "Segmentation of burn images based on color and texture information", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.481357

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