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

摘要

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.