Please use this identifier to cite or link to this item:
Type: Artigo
Title: Tss & Tsb: Tensor Scale Descriptors Within Circular Sectors For Fast Shape Retrieval
Author: Freitas
Anderson M.; Torres
Ricardo da S.; Miranda
Paulo A. V.
Abstract: We propose two novel region-based descriptors for shape-based image retrieval and analysis, which are built upon an extended tensor scale based on the Euclidean Distance Transform (EDT). First the tensor scale algorithm is applied to extract local structure thickness, orientation, and anisotropy as represented by the largest ellipse within a homogeneous region centered at each image pixel. In this work, we extend the local orientation to 360 degrees. Then, for the first proposed descriptor, named Tensor Scale Sector descriptor (TSS), the local distributions of relative orientations within circular sectors are used to compose a fixed-length feature vector for a region-based representation. For the second method, named Tensor Scale Band descriptor (TSB), we consider histograms of relative orientations for each circular concentric band to compose a fixed-length feature vector with linear time matching. Experimental results with MPEG-7 and MNIST datasets are presented to illustrate and validate the methods. TSS can achieve high retrieval values comparable to state-of-the-art methods, which usually rely on time-consuming correspondence optimization algorithms, but uses a simpler and faster distance function, while the even faster linear complexity of TSB leads to a suitable and better solution for very large shape collections. (C) 2016 Elsevier B.V. All rights reserved.
Subject: Shape Descriptor
Shape Matching
Shape Similarity
Content-based Image Retrieval
Tensor Scale
Editor: Elsevier Science BV
Rights: fechado
Identifier DOI: 10.1016/j.patrec.2016.06.005
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000386874900009.pdf2.21 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.