A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimum Image Thresholding via Class Uncertainty and Region Homogeneity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Image Retrieval Using Adaptive Segmentation of HSV Color Space
ICCSA '08 Proceedings of the 2008 International Conference on Computational Sciences and Its Applications
Feature Vector Extraction System Based on Adaptive Segmentation of HSV Information Space
UKSIM '09 Proceedings of the UKSim 2009: 11th International Conference on Computer Modelling and Simulation
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Image segmentation is an important and difficult task in computer vision applications. Various methods have been introduced in the past to use gray-level histogram in deciding the segmentation threshold for monochrome images. With the reducing price of color cameras, different color spaces have also been considered in color image based segmentations. In this paper, a study of the effect of color spaces is presented and a segmentation strategy is introduced to select the most effective space in which the segmentation result could be improved. Experimental results show that the proposed method can provide robust segmentation outcomes subject to parts with different colors and under different illumination conditions.