Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors

Czwartek, 04. Listopada 2010 12:03
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A. Klepaczko and P. Szczypiński, Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors, Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, 2010, Volume 6474/2010, 245-254

This paper presents a novel technique for automatic segmentation of wireless capsule endoscopic images. The main contribution resides in the integration of three computational blocks: 1) local polynomial approximation algorithm which finds locally-adapted neighborhood of each pixel; 2) color texture analysis which describes each pixel by a vector of numerical attributes that reflect this pixel local neighborhood characteristcs; and 3) cluster analysis (k-means) for grouping pixels into homgeneous regions based on their color information. The proposed approach leads to a robust segmentation procedure which produces fine segments well matched to the image contents.