Geometric Feature Based Vision Alignment With Partially Eroded Fiducial Mark

• Main Authors: Poyi Huang, 黃博義
• Other Authors: Yuan-Chen Yu
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/78279396970705780534

碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 98 === Using computer vision to get the center point coordinate of the fiducial mark is commonly adapted for alignment in the automated optoelectronic product manufacturing equipment. The accuracy of the alignment has significant influence on the quality of the products. Traditionally, the computer vision alignments were mainly done by pattern matching or by getting the centroid of the detected mark image. Those methods may get the center cooritdinate with remarkable error when the fiducial mark was partially eroded, which happened quite often in the industrial practices. To overcome that shortage, a geometric feature based vision alignment was proposed. In this approach, the center coordinate was determined by partial of the edges and/or corners of the mark that are reliable. The more reliable edges and/or corners, the higher accuracy and certainty of the coordinate measured will be reported. The coordinate measurement can be accurate and robust until only one reliable edge and corner were left without eroded.