A hybrid algorithm for the segmentation of books in libraries

Document Type

Conference Proceeding

Publication Date



Department of Applied Computing; Center for Cyber-Physical Systems


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.

Publisher's Statement

© 2016 SPIE. Publisher's version of record: https://doi.org/10.1117/12.2223338

Publication Title

Proceedings Mobile Multimedia/Image Processing, Security, and Applications 2016