Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/13271
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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