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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Lakdashti, A., & Moin, M. S. (2007). A new content-based image retrieval approach based on pattern orientation histogram. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4418 LNCS, pp. 587–595). Springer Verlag. https://doi.org/10.1007/978-3-540-71457-6_54
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