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Research Article

Object Recogniton Based On Undecimated Wavelet Transform


Author(s): R.Umagowri , N.Soundararajan,B.Sakthisree
Affiliation: Assistant Professor, Department of Computer Science and Engineering, Mahendra Engineering College, Mahendhirapuri, Namakkal District, Mallasamudram, Tamilnadu, India.
Year of Publication: 2018
Source: International Journal of Computing Algorithm
     
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Citation: R.Umagowri, N.Soundararajan,B.Sakthisree. "Object Recogniton Based On Undecimated Wavelet Transform." International Journal of Computing Algorithm 7.1 (2018): 1-3.

Abstract:
Object Recognition OR is the mission of finding a specified object in an image or video sequence in computer vision. An efficient method for recognizing object in an image based on Undecimated Wavelet Transform UWT is proposed. In this system, the undecimated coefficients are used as features to recognize the objects. The given original image is decomposed by using the UWT. All coefficients are taken as features for the classification process. This method is applied to all the training images and the extracted features of unknown object are used as an input to the K-Nearest Neighbor K-NN classifier to recognize the object. The assessment of the system is agreed on using Columbia Object Image Library Dataset COIL-100 database.


Keywords Object recognition, wavelet transform, K-Nearest Neighbor.


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@article{Obj1892713, author = {R.Umagowri,N.Soundararajan,B.Sakthisree}, title = {Object Recogniton Based On Undecimated Wavelet Transform}, journal={International Journal of Computing Algorithm}, volume={7}, issue={1}, issn = {2278-2397}, year = {2018}, publisher = {Scholarly Citation Index Analytics-SCIA}

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  • [9] Jiang, P., et al., 2016, "Unfalsified Visual Servoing for Simultaneous Object Recognition and Pose Tracking", IEEE Transactions on Cybernetics, 4612: 3032-3046.
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