J4 ›› 2014, Vol. 36 ›› Issue (01): 126-131.
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FANG Jianjun1,DU Mingfang1,2,PANG Rui1
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Abstract:The problem of the bookspine recognition by library robot vision is studied. According to the characteristics that the bookspine 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 bookspine. Through experiments, Sobel and Canny edge detection methods are compared. And the Canny edge detection method is finally used to detect the bookspine outlines. Probability Hough transform algorithm is adopted to find the lines of the bookspine 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 bookspine recognition tests are performed. The outlines of every bookspine 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
FANG Jianjun1,DU Mingfang1,2,PANG Rui1. Book-spine recognition by robot vision based on wavelet analysis and probability Hough transform [J]. J4, 2014, 36(01): 126-131.
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http://joces.nudt.edu.cn/EN/Y2014/V36/I01/126