Abstract
This paper presents a new content based image retrieval approach based on histogram of pattern orientations, namely pattern orientation histogram (POH) method. POH represents the spatial distribution of five different pattern orientations: vertical, horizontal, diagonal down/left, diagonal down/right and non-orientation. In this method, a given image is first divided into image-blocks and frequency of each type of patterns is determined in each image-block. Then local pattern histograms for each of these image-blocks are computed. As a result, local pattern histograms are obtained for each image. We compared our method with one of the texture descriptors MPEG-7 standard. Experimental results demonstrate that POH leads to better precision and recall rates than edge histogram descriptor (EHD) of MPEG-7 standard for search and retrieval of digital imagery.
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Lakdashti, A., Moin, M.S. (2007). A New Content-Based Image Retrieval Approach Based on Pattern Orientation Histogram. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics Collaboration Techniques. MIRAGE 2007. Lecture Notes in Computer Science, vol 4418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71457-6_54
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DOI: https://doi.org/10.1007/978-3-540-71457-6_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71456-9
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