TSS & TSB: Tensor scale descriptors within circular sectors for fast shape retrieval
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- 作者：Anderson M. Freitas ; a ; afreitas@ime.usp.br" class="auth_mail" title="E-mail the corresponding author ; Ricardo da S. Torresb ; rtorres@ic.unicamp.br" class="auth_mail" title="E-mail the corresponding author ; Paulo A.V. Mirandaa ; pmiranda@vision.ime.usp.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Shape descriptor ; Shape matching ; Shape similarity ; Content-based image retrieval ; Tensor scale
- 刊名：Pattern Recognition Letters
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：83
- 期：part_P3
- 页码：303-311
- 全文大小：2207 K
文摘
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Two novel shape descriptors are presented, based on the tensor scale (TS) concept.
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The orientation of TS ellipses is extended to 360°.
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Experimental results with MPEG-7 and MNIST datasets validates the methods for CBIR.
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The descriptors achieve a high retrieval rate comparable to state-of-the-art methods.
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Both descriptors uses a simple distance function, with linear complexity in TSB.