• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (01): 126-131.

• 论文 • Previous Articles     Next Articles

Book-spine recognition by robot vision based on
wavelet analysis and probability Hough transform     

FANG Jianjun1,DU Mingfang1,2,PANG Rui1   

  1. (1.School of Automation,Beijing Union University,Beijing 100101;
    2.School of Automation,Beijing Institute of Technology,Beijing 100081,China)
  • Received:2011-12-01 Revised:2012-12-03 Online:2014-01-25 Published:2014-01-25

Abstract:

Abstract:The problem of the bookspine recognition by library robot vision is studied. According to the characteristics that the bookspine image is complex and the outline of every book is difficult to be extracted., the image preprocessing idea is proposed, which uses Wavelet analysis to heighten the outlines of the bookspine. Through experiments, Sobel and Canny edge detection methods are compared. And the Canny edge detection method is finally used to detect the bookspine outlines. Probability Hough transform algorithm is adopted to find the lines of the bookspine image. VC++ and OpenCV are used to develop the application program. According to the thickness (Very Thick, A Bit Thick, Medium Thick, A bit Thin, Thin, Hybrid) of a single book, several types of bookspine recognition tests are performed. The outlines of every bookspine are effectively recognized and the thickness of every book is obtained by programming optimization process. This study lays a foundation for the books grasp operating by manipulator vision.

Key words: book-spine recognition;library robot;Canny operator;probability Hough transform