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Hierarchy in Picture Segmentation: A Stepwise Optimization Approach
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Three-dimensional image segmentation using a split, merge and group approach
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ACM Transactions on Mathematical Software (TOMS)
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Pattern Recognition Letters
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Irregular Pyramids with Combinatorial Maps
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Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
Texture tile considerations for raster graphics
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
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Machine Graphics & Vision International Journal
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Computer Vision and Image Understanding
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The HCM for perceptual image segmentation
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An Automatic Method for Video Character Segmentation
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ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
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Applied Soft Computing
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IEEE Transactions on Image Processing
Hierarchical segmentation-based image coding using hybrid quad-binary trees
IEEE Transactions on Image Processing
Salient feature extraction of industrial objects for an automated assembly system
Computers in Industry
Texture classification via conditional histograms
Pattern Recognition Letters
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SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
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SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
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RTC'05 Proceedings of the 14th IEEE-NPSS conference on Real time
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Edge Detection by Adaptive Splitting II. The Three-Dimensional Case
Journal of Scientific Computing
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In the past, picture segmentation has been performed by merging small primitive regions or by recursively splitting the whole picture. This paper combines the two approaches with significant increase in processing speed while maintaining small memory requirements. The data structure is described in detail and examples of implementations are given.