Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation
作者： Spyros Ioannou , Yannis Avrithis , Giorgos Stamou , Stefanos Kollias
DOI: 10.1007/978-3-540-36420-7_9
关键词:
摘要: Fusion of multiple cue image partitions is described as an indispensable tool towards the goal automatic object-based and video segmentation, interpretation coding. Since these tasks involve human cognition knowledge semantics, which are absent in most cases, fusion all available cues crucial for effective segmentation generic sequences. This chapter investigates fuzzy data techniques capable integrating results provide time consistent spatiotemporal corresponding to moving objects.
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