An optimization algorithm for shape analysis of regular polygons

Jen Ming Chen, Jose A. Ventura, Brian J. Melloy

研究成果: 雜誌貢獻期刊論文同行評審

2 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)82-92
期刊Machine Vision and Applications
出版狀態已出版 - 6月 1994


深入研究「An optimization algorithm for shape analysis of regular polygons」主題。共同形成了獨特的指紋。