Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i1/73218
Year: 2016, Volume: 9, Issue: 1, Pages: 1-5
Original Article
R. Aarthi1*, K. P. Anjana1 and J. Amudha2
1Department of CSE, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, Tamil Nadu, India; [email protected]. edu, [email protected] 2Department of CSE, Amrita Vishwa Vidyapeetham, Bengaluru – 560035, Karnataka, India; [email protected]
*Author For Correspondence
R. Aarthi
Department of CSE, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, Tamil Nadu, India; [email protected]. edu
Background/Objectives: This paper presents an image retrieval system using hand drawn sketches of images. Sketch is one of the convenient ways to represent the abstract shape of an object. The main objective is to perform retrieval of images using edge content by prioritizing the blocks based on information. Methods/Statistical Analysis: Entropy based Histogram of Gradients (HOG) method is proposed to prioritize the block. The method helps to pick the candidate blocks dynamically to compare with database images. Findings: The performance of the method has been evaluated using benchmark dataset of Sketch Based Image Retrieval (SBIR) with other methods like Indexable Oriented Chamfer Matching (IOCM), Context Aware Saliency (CAS-IOCM) and Histogram of Gradients (HOG). Comparing to these methods the number of relevant images retrieved is high for our approach.Application/Improvement: Knowledge based block selection method improves the performance of the existing method.
Keywords: Entropy, Histogram of Gradients, Performance Evaluation, Sketch Based Image Retrieval
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