Comparing Shape and Texture Features for Pattern Recognition in Simulation Data.

[摘要] In this paper, we investigate shape and texture features for pattern recognition in simulation data. In particular, we explore which features are suitable for characterizing regions of interest in images resulting from fluid mixing simulations. Three texture featurs-gray level co-occurrence matrices, wavelets, and Gabor filters-and two shape features-geometric moments and the angular radial transform-are compared. The features are evaluated using a similarity retrieval framework.

[发布机构] Technical Information Center Oak Ridge Tennessee

[学科分类] 工程和技术（综合）

[关键词] Pattern recognition;Shapes;Textures;Simulation;Meetings