19 May 2016 A hybrid algorithm for the segmentation of books in libraries
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Abstract
This paper proposes an algorithm for book segmentation based on bookshelves images. The algorithm can be separated into three parts. The first part is pre-processing, aiming at eliminating or decreasing the effect of image noise and illumination conditions. The second part is near-horizontal line detection based on Canny edge detector, and separating a bookshelves image into multiple sub-images so that each sub-image contains an individual shelf. The last part is book segmentation. In each shelf image, near-vertical line is detected, and obtained lines are used for book segmentation. The proposed algorithm was tested with the bookshelf images taken from OPIE library in MTU, and the experimental results demonstrate good performance.
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Zilong Hu, Jinshan Tang, Liang Lei, "A hybrid algorithm for the segmentation of books in libraries", Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690K (19 May 2016); doi: 10.1117/12.2223338; https://doi.org/10.1117/12.2223338
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