A novel shape-based image matching approach

作者：Chen, Gang^*; Shi, Jinglun; Chen, Feng; Lu, Jingbiao

来源：2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012, Singapore, 2012-07-18 To 2012-07-20.

DOI：10.1109/ICIEA.2012.6360732

• Bee colony optimization (BCO)
• Contour points
• Conventional approach
• Optimal matching
• Shape based
• Shape matching

In this paper, the Bee colony optimization (BCO) technique is exploited to tackle the shape matching problem with the aim to find the matching between two shapes represented via sets of contour points. A number of bees are used to collaboratively search the optimal matching using a proposed proximity-regularized cost function. Furthermore, the proposed cost function considers the proximity information of the matched contour points;this is in the contrast to that these contour points are treated independently in the conventional approaches. Experimental results are presented to demonstrate that the proposed approach is able to provide more accurate shape matching than the conventional approaches.

• 出版日期2012
• 单位广东轻工职业技术学院; 华南理工大学