Automatic Texture Inspection in the Classification of Papers and Cloths with Neural Networks Method

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/33991

Title:	Automatic Texture Inspection in the Classification of Papers and Cloths with Neural Networks Method
Authors:	邱奕契 Chiou, Yih-Chih
Contributors:	機械工程學系 Mechanical Engineering
Keywords:	Classification;Texture Analysis;Wavelet Transformation;Co-occurrence Matrix;Neural Networks Classification;Texture Analysis;Wavelet Transformation;Co-occurrence Matrix;Neural Networks
Date:	2009
Issue Date:	2014-06-27 02:36:43 (UTC+8)
Abstract:	The object of this study is to use colors and textures to classify color objects. To achieve the objective, first, the color image is transformed from RGB model to other suitable color model, and then one of the components is chosen as the gray-level imag The object of this study is to use colors and textures to classify color objects. To achieve the objective, first, the color image is transformed from RGB model to other suitable color model, and then one of the components is chosen as the gray-level imag
Appears in Collections:	[Department of Mechanical Engineering] Journal Articles

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