Study on image sharpening technology in image recognition

作     者：Yin, Zhang Guo Hong, Guo Xuan, Li Chang Heng, Li 

作者机构：Computer Technology Application Key Lab of Yunnan Province Kunming University of Science and Technology China 

出 版 物：《Advances in Information Sciences and Service Sciences》 (Adv. Inf. Sci. Serv. Sci.)

年 卷 期：2012年第4卷第10期

页      面：112-121页

核心收录：

主　　题：Reinforcement 

摘      要：Image sharpening is one of the key technologies about image recognition. The purpose of image sharpening technology is to strengthen the image edge and outline of the scenery. There have been many algorithms to be invented, such as gradient reinforcement method, Butterworth high-pass filter method, and image edge detection method based on Prewitt operator, Log operator and Canny operator. In this paper, a right method based on the features of image and the right values for parameters are proposed. Experiment shows that the proposed method has the advantage over other different methods.