GAO Yang, CHENG Yuhu, WANG Xuesong, “A Quick Convex Hull Building Algorithm Based on Grid and Binary Tree,” Chinese Journal of Electronics, vol. 24, no. 2, pp. 317-320, 2015, doi: 10.1049/cje.2015.04.015
Citation: GAO Yang, CHENG Yuhu, WANG Xuesong, “A Quick Convex Hull Building Algorithm Based on Grid and Binary Tree,” Chinese Journal of Electronics, vol. 24, no. 2, pp. 317-320, 2015, doi: 10.1049/cje.2015.04.015

A Quick Convex Hull Building Algorithm Based on Grid and Binary Tree

doi: 10.1049/cje.2015.04.015
Funds:  This work is supported by National Natural Science Foundation of China (No.61273143, No.61472424), Specialized Research Fund for the Doctoral Program of Higher Education of China (No.20120095110025) and Fundamental Research Funds for the Central Universities (No.2013RC10, No.2013RC12, No.2014YC07).
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  • Corresponding author: WANG Xuesong received the Ph.D. degree from China University of Mining and Technology in 2002. She is currently a professor in the School of Information and Electrical Engineering, China University of Mining and Technology. Her main research interests include machine learning and artificial intelligence. (
  • Publish Date: 2015-04-10
  • A quick convex hull building algorithm using grid and binary tree is proposed for the minimum convex buidling of planar point set. Grids are used to assess and eliminate those interior points wihtout any contribution to convex hull building and points are sought in the boundary grid only so as to enhance the efficiency of algorithm. The minimum convex bull is built by taking such advantages of binary tree as quick, convenient and applicable for various point sets with different distributions, so as to resolve the description problem of concave point. The time complexity of the algorithm is low because of grid pretreatment. As the results of comparative expriment of random point and actual picture show, the proposed algorithm can obtain the best profile of 2D planar picture with minimum time, which is applicable for describing the shape of irregular convex-concave objects.
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