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Journal of applied research and technology

On-line version ISSN 2448-6736Print version ISSN 1665-6423

J. appl. res. technol vol.11 n.5 México Oct. 2013

 

Powerful Descriptor for Image Retrieval Based on Angle Edge and Histograms

 

Mussarat Yasmin*, Muhammad Sharif, Isma Irum, Sajjad Mohsin

 

CCOMSATS Institute of Information Technology, Pakistan. *mussaratyasmin@comsats.edu.pk.

 

ABSTRACT

By gaining the place of active and important research area, Content based image retrieval has been proposed in a number of different ways after its inception. In the proposed method, a new angle orientation histogram has been introduced named as Angle Edge Histogram. By applying Pythagorean theory to image, very useful characteristics have been obtained for image matching, search and retrieval. Proposed method has also been compared with existing methods and the results show that it outperforms the existing methods in values of precision and recall and balance of precision and recall. Proposed method receives an average of 94% of precision and 79% of recall rates.

Keywords: Feature Extraction, Image Decomposition, Image Matching, Image Search, Pythagorean Theory, Shape Descriptor, Shape Features.

 

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