Automatic Selection of a Segmentation Method for the Detection of Flaws

CHUR > College of Engineering > Department of Mechanical Engineering > Journal Articles > Item 987654321/34044

Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/34044

Title:	Automatic Selection of a Segmentation Method for the Detection of Flaws
Authors:	邱奕契 Chiou, Yih-Chih
Contributors:	機械工程學系 Mechanical Engineering
Keywords:	Segmentation;Feature Extraction;Flaw Detection;Flaw Classification Segmentation;Feature Extraction;Flaw Detection;Flaw Classification
Date:	2006
Issue Date:	2014-06-27 02:37:52 (UTC+8)
Abstract:	Different types of images require different segmentation methods in order to successfully extract desired flaws. In the study a novel methodology capable of automatically switching to a proper segmentation method according to features extracted from an im Different types of images require different segmentation methods in order to successfully extract desired flaws. In the study a novel methodology capable of automatically switching to a proper segmentation method according to features extracted from an im
Appears in Collections:	[Department of Mechanical Engineering] Journal Articles

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