期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2011
卷号：28
期号：2
出版社：Journal of Theoretical and Applied
摘要：A new image indexing and retrieval algorithm known as local derivative pattern (LDP_16_2) is proposed in this work. LDP_16_2 histograms are used as features of each image in the data base. LDP_16_2 encodes the higher order derivative information which contains more detailed discriminative features. This property made it a powerful tool for feature extraction of images in the data base. Improved results in terms of retrieval efficiency and computational complexity are observed over recent work based on LBP_16_2 (Local Binary Patterns) features based CBIR system and LBP correlogram features based CBIR system.. The distance measures viz. city block distance, Euclidean distance, Canberra distance and d12 distance are used as similarity measures in the proposed CBIR system. Superiority of d12 distance is observed over other distances in terms of average retrieval rate.
关键词：High Order Local Patterns; Texture; Local Derivative Patterns (LDP_16_2); Local Binary Patterns (LBP_16_2); Image Retrieval; Histogram.
