String Extraction From Color Airline Coupon Image Using Statistical Approach
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Adaptive dynamic run-length coding for image segmentation
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Text segmentation in color images using tensor voting
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Automatic segmentation of natural scene images based on chromatic and achromatic components
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Image segmentation using dynamic run-length coding technique
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Segmentation of distinct homogeneous color regions in images
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Object recognition of outdoor environment by segmented regions for robot navigation
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Object analysis for outdoor environment perception using multiple features
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A tensor voting for corrupted region inference and text image segmentation
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Detection of text region and segmentation from natural scene images
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Lattice associative memories for segmenting color images in different color spaces
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Form From Projected Shadow (FFPS): An algorithm for 3D shape analysis of sedimentary particles
Computers & Geosciences
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A new method of color image segmentation is proposed in this paper. It is based on K-means algorithm in HSI space and has the advantage over those based on the RGB space. Both the hue and the intensity components are fully utilized. In the process of hue clustering, the special cyclic property of the hue component is taken into consideration. The paper gives the definition of the distance and the center in the hue space, based on which the hue-clustering algorithm is implemented. Utilized in medical image processing, the new method has a good performance.