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|Title:||Texture features for image classification and retrieval||Authors:||Wong, Kee Tung.||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing||Issue Date:||2002||Abstract:||Texture is an important element of vision, and it occurs in a variety of natural and man-made objects. Being abundant in this world, humans often use textures as cues to recognize many kinds of objects. Various commercial applications have successfully used texture as a basis for image representation. Textures can be analyzed by measuring some quantities from the power spectrum.||URI:||http://hdl.handle.net/10356/3749||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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