Extraction of video object with complex motion
Pattern Recognition Letters
Visual ontology construction for digitized art image retrieval
Journal of Computer Science and Technology
Region-based visual attention analysis with its application in image browsing on small displays
Proceedings of the 15th international conference on Multimedia
Color PCA eigenimages and their application to compression and watermarking
Image and Vision Computing
Fuzzy mode enhancement and detection for color image segmentation
Journal on Image and Video Processing - Color in Image and Video Processing
A configurable method for multi-style license plate recognition
Pattern Recognition
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Color image segmentation is an important but still open problem in image processing. In this paper, we propose a method for this problem by integrating the spatial connectivity and color feature of the pixels. Considering that an image can be regarded as a dataset in which each pixel has a spatial location and a color value, color image segmentation can be obtained by clustering these pixels into different groups of coherent spatial connectivity and color. To discover the spatial connectivity of the pixels, density-based clustering is employed, which is an effective clustering method used in data mining for discovering spatial databases. Color similarity of the pixels is measured in Munsell (HVC) color space whose perceptual uniformity ensures the color change in the segmented regions is smooth in terms of human perception. Experimental results using proposed method demonstrate encouraging performance.