Selecting an Appropriate Segmentation Method Automatically Using ANN Classifier

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/34673

Title:	Selecting an Appropriate Segmentation Method Automatically Using ANN Classifier
Authors:	邱奕契 Chiou, Yih-Chih
Contributors:	機械工程學系 Mechanical Engineering
Keywords:	Segmentation;Feature Extraction;Flaw Detection;Flaw Classification;BPN Network Segmentation;Feature Extraction;Flaw Detection;Flaw Classification;BPN Network
Date:	2007
Issue Date:	2014-06-27 02:59:45 (UTC+8)
Abstract:	In general, we can easily determine the manufacturing step that does not function properly by referring to the flaw type. However, a successful segmentation of flaws is the prerequisite for the success of the subsequent flaw classification. It is worth no In general, we can easily determine the manufacturing step that does not function properly by referring to the flaw type. However, a successful segmentation of flaws is the prerequisite for the success of the subsequent flaw classification. It is worth no
Appears in Collections:	[Department of Mechanical Engineering] Seminar papers

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