Image Recognition Technology Based on Projection Entropy

摘要：

This paper is a study on the shortages of algorithm based on grayscale with low matching speed and feature-based algorithm with low matching rates, meanwhile, the fast algorithm based on grayscale and feature-based algorithm for high matching rate are discussed, and try to combine them, expect to achieve fast matching with high matching rate. Introducing the concept of image entropy and projection characteristics to the image matching completely, to define the image local projection entropy, and an image matching method based on local projection entropy is proposed. Image matching method based on local projection entropy has good ability against geometric distortion, and further reduces the computation; the results indicate that this is a simple and effective method of image matching.

关键词： image recognition matching projection characteristics entropy

作者: Dejun Tang Weishi Zhang Chen Wang Min Jiang

作者单位: Dalian Maritime University, P.R.China Dalian Neusoft Institute of Information, P.R.China Dalian Maritime University, P.R.China Dalian Neusoft Institute of Information, P.R.China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 71-76

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）