Slant Detection and Correction of Mobile Phone Keyboard Image
In vision detection system of mobile phone keyboard, images coming from product line are often slant. Those images have to be corrected in order to facilitate match and recognition in further image processing. This paper proposes an effective slant correction method based on the characteristics of mobile phone keyboard image. In this method, straight line edge detection is done only by horizontal Sobel operator. The angle parameter of straight line is tested by multiresolution Hough transform. Then the angle relation is deduced between the tested line and slant mobile phone keyboard image. The slant image is corrected by rotation algorithm which combines the fast rotation algorithm with bilinear interpolation algorithm. The results of experiment indicates that the method and its algorithm are effective and accurate.
edge detection Hough transform rotation algonthm honzontial Sobel operator
Peng Chunjiang Zhao Qiancheng Huang Geng
college of electromechanical engineering of Hunan University of Science and Technology, Xiangtan 41 Health Maintenance for Mechanical Equipment Key Lab of Hunan Province, Hunan University of Science a ShenzhenYingdesi Electronic Co., Ltd, Shenzhen 518028 China
国际会议
湘潭
英文
102-108
2011-07-19（万方平台首次上网日期，不代表论文的发表时间）