Multiobjective image recognition algorithm in the fully automatic die bonder
Multiobjective image recognition algorithm in the fully automatic die bonder
JIANG Kai1, CHEN Hai-xia2, YUAN Sen-miao2
1.The 45th Institute of China Electronics Technology Group Corporation, Beijing 101601, China; 2.Institute of Computer Science and Technology, Jilin University, Changchun 130025, China;
Abstract：It is a very important task to automatically fix the number of die in the image recognition system of a fully automatic die bonder. A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposed in this paper. In the evolutionary process of GA, a clustering method is provided that utilizes information from the template and the fitness landscape of the current population. The whole population is grouped into different niches by the clustering method. Experimental results demonstrated that the number of target images could be determined by the algorithm automatically, and multiple targets could be recognized at a time. As a result, time consumed by one image recognition is shortened, the performance of the image recognition system is improved, and the atomization of the system is fulfilled.
出版日期: 2006-09-05
引用本文:
. Multiobjective image recognition algorithm in the fully automatic die bonder[J]. Frontiers of Mechanical Engineering in China, 2006, 1(3): 313-316.
JIANG Kai, CHEN Hai-xia, YUAN Sen-miao. Multiobjective image recognition algorithm in the fully automatic die bonder. Front. Mech. Eng., 2006, 1(3): 313-316.
