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|Title:||Unsupervised multi-texture image segmentation||Authors:||Neena Mittal||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
|Issue Date:||1999||Abstract:||Texture is a prevalent property of most physical surfaces in the natural world. Its analysis is one of the most important techniques used in image processing and pattern recognition. Many common low level vision algorithms such as edge detection break down when applied to images that contain textured surfaces. It is therefore crucial to have robust and efficient methods for processing textured images.||URI:||http://hdl.handle.net/10356/13271||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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