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Evaluation of color image segmentation algorithms based on histogram thresholding

Bewertung eines Farbbildsegmentierungsalgorithmus auf Basis von Histogramm-Schwellenwertanalyse
: Ndjiki-Nya, P.; Simo, G.; Wiegand, T.


Atzori, L.:
Visual content processing and representation : 9th international workshop, VLBV 2005, Sardinia, Italy, September 15 - 16, 2005; Revised selected papers
Berlin: Springer, 2006 (Lecture Notes in Computer Science 3893)
ISBN: 3-540-33578-1
ISBN: 978-3-540-33578-8
International Workshop Very Low Bit-Rate Video-Coding (VLBV) <9, 2005, Castiadas>
Conference Paper
Fraunhofer HHI ()
image colour analysis; image segmentation; image texture; Bildsegmentierung; Farbbild; Algorithmus; Histogramm; Texturanalyse; digitale Bildverarbeitung

Image segmentation is an essential processing step in texture analysis systems, as its accuracy has a significant impact on the quality of the final analysis result. The downside of texture analysis is that segmentation is one of the most difficult tasks in image processing. In this paper, algorithms for improved color image segmentation are presented. They are all based on a histogram thresholding approach that was developed for monochrome images for it has proven to be very effective. Improvements over the genuine segmentation approach are measured and the best optimization algorithm is determined.