Volume 13, Number 3 (12-2016)                   JSDP 2016, 13(3): 35-50 | Back to browse issues page



DOI: 10.18869/acadpub.jsdp.13.3.35

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Mahdikhanlou K, Ebrahimnezhad H. Shape based object retrieval using descriptors extracted from growing contour process. JSDP. 2016; 13 (3) :35-50
URL: http://jsdp.rcisp.ac.ir/article-1-358-en.html

Associate Professor Sahand University of Technology
Abstract:   (306 Views)

 In this paper, a novel shape descriptor for shape based object retrieval is proposed. A growing process is introduced in which a contour is reconstructed from the bounding circle of the shape. In this growing process, circle points move toward the shape in normal direction until they arrive at the shape contour. Three different shape descriptors are extracted from this process: the first descriptor is defined as the number of steps that every circle point should pass which is called growing steps. The second descriptor is considered as the boundary distance of the circle points at the end of the growing process. The third descriptor is the mean of the curvature of the growing lines that are created by moving points. Invariance to translation is the intrinsic property of these features. By selecting a fixed starting point and tracing the boundary in a fixed direction (clock-wise or contour clock-wise), a set of descriptors can be collected that are invariant to rotation. Finally, normalizing the descriptors makes them to be invariant to scale. Support vector machines based on one-shot score are applied in the retrieval stage. Experimental results show that the suggested method has high performance for shape retrieval. It achieves 89.16% retrieval rate on MPEG-7 CE-Shape-1 dataset.

Full-Text [PDF 2821 kb]   (131 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2015/04/14 | Accepted: 2016/06/15 | Published: 2017/04/23 | ePublished: 2017/04/23

References
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