Ndjiki-Nya, P.P.Ndjiki-NyaSimo, G.G.SimoWiegand, T.T.Wiegand2022-03-102022-03-102006https://publica.fraunhofer.de/handle/publica/35251110.1007/11738695_282-s2.0-33745627055Image 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.enimage colour analysisimage segmentationimage textureBildsegmentierungFarbbildAlgorithmusHistogrammTexturanalysedigitale Bildverarbeitung621conference paper