Segmentation of textures defined on flat vs. layered surfaces using neural networks: Comparison of 2D vs. 3D representations

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Segmentation of textures defined on flat vs. layered surfaces using neural networks: Comparison of 2D vs. 3D representations

Texture boundary detection (or segmentation) is an important capability in human vision. Usually, texture segmentation is viewed as a 2D problem, as the definition of the problem itself assumes a 2D substrate. However, an interesting hypothesis emerges when we ask a question regarding the nature of textures: What are textures, and why did the ability to discriminate texture evolve or develop? A...

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ژورنال

عنوان ژورنال: Neurocomputing

سال: 2007

ISSN: 0925-2312

DOI: 10.1016/j.neucom.2006.03.019