AN OPTIMIZATION ALGORITHM FOR SHAPE-ANALYSIS OF REGULAR POLYGONS

NCUIR > School of Management at National Central University > Graduate Institute of Information Management > journal & Dissertation > Item 987654321/29694

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29694

Title:	AN OPTIMIZATION ALGORITHM FOR SHAPE-ANALYSIS OF REGULAR POLYGONS
Authors:	CHEN,JM;VENTURA,JA;MELLOY,BJ
Contributors:	資訊管理研究所
Keywords:	INSPECTION
Date:	1994
Issue Date:	2010-06-29 20:38:25 (UTC+8)
Publisher:	中央大學
Abstract:	Machine vision has the potential to impact both quality and productivity significantly in computer integrated manufacturing due to its versatility, flexibility, and relative speed. Unfortunately, algorithm development has not kept pace with the advances in vision-hardware technology, particularly in the areas of analysis and decision making. The specific subject of this investigation is the development of a machine-vision algorithm for the dimensional checking, pose estimation, and overall shape verification of regular polygonal objects (e.g., surface-mounted electronic components and fastener heads). Algorithmically, the image boundary data is partitioned into n segments, and then a non-ordinary least squares technique is used to find the best fitting polygon. The algorithm is well-suited for online implementation in an automated environment due to its flexibility and demonstrated speed.
Relation:	MACHINE VISION AND APPLICATIONS
Appears in Collections:	[Graduate Institute of Information Management] journal & Dissertation

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