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Abstract
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Article Information:
Object Recognition Based on Wave Atom Transform
Thambu Gladstan and E. Mohan
Corresponding Author: Thambu Gladstan
Submitted: September 07, 2014
Accepted: October 01, 2014
Published: October 05, 2014 |
Abstract:
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This study presents an efficient method for recognizing object in an image based on Wave Atom Trans-form (WAT). Object recognition is achieved by extracting the energies from all coefficients of WAT. The original image is decomposed by using the WAT. All coefficients are considered as features for the classification process. The extracted features are given as an input to the K-Nearest Neighbor (K-NN) classifier to recognize the object. The evaluation of the system is carried on using Columbia Object Image Library Dataset (COIL-100) database. The classification performance of the proposed system is evaluated by using classification rate in percentage, which is achieved by varying the angle between the views.
Key words: Classification rate, feature extraction, KNN classifier, object recognition, wave atom transform, ,
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Cite this Reference:
Thambu Gladstan and E. Mohan, . Object Recognition Based on Wave Atom Transform. Research Journal of Applied Sciences, Engineering and Technology, (13): 1613-1617.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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