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The present work demonstrates that image features describing the structural properties of figures are sufficient for the figure retrieval task. First, the authors analyze the problem of figure retrieval from biomedical literature and identify significant classes of figures. Second, they use edge information as a means to discriminate between structural properties of each figure category. Finally, the authors present a methodology using a novel feature descriptor namely Fourier Edge Orientation Autocorrelogram (FEOAC) to describe structural properties of figures and build an effective Biomedical document retrieval system. The experimental results demonstrate the better retrieval performance and overall improvement of FEOAC for figure retrieval task, especially when most of the edge information is retained. Apart from invariance to scale, rotation and non-uniform illumination, the proposed feature descriptor is shown to be relatively robust to noisy edges.<\/p>","DOI":"10.4018\/jkdb.2012010103","type":"journal-article","created":{"date-parts":[[2013,1,29]],"date-time":"2013-01-29T21:03:34Z","timestamp":1359493414000},"page":"39-58","source":"Crossref","is-referenced-by-count":0,"title":["Figure Based Biomedical Document Retrieval System using Structural Image Features"],"prefix":"10.4018","volume":"3","author":[{"given":"Harikrishna G. N.","family":"Rai","sequence":"first","affiliation":[{"name":"Infosys Labs, Infosys Limited, Bangalore, India"}]},{"given":"K Sai","family":"Deepak","sequence":"additional","affiliation":[{"name":"Infosys Labs, Infosys Limited, Bangalore, India"}]},{"given":"P. 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