Comprehensive Survey on Image Feature Extraction Techniques |
Author(s): |
| Prashant Aglave , B.I.G.C.E Solapur; V.S. Kolkure, B.I.G.C.E Solapur |
Keywords: |
| SIFT, SURF, ORB |
Abstract |
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Recent industrial applications require object recognition and tracking capabilities. These applications require real-time performance. Feature extraction is one of the most important steps for image processing. This feature extraction method is method to detect a particular object in image. So in this paper, we focus our review on the latest development in image feature extraction and provide a comprehensive survey on image feature extraction methods. Different algorithms are used for image processing like Scale-invariant feature transform (SIFT), Speeded Up Robust Features (SURF). This paper gives an overall idea of general methods of Feature extraction and gives significance of ORB over SIFT and SURF algorithm. Use of ORB provides rotation invariance of both train image and query image. |
Other Details |
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Paper ID: IJSRDV2I11295 Published in: Volume : 2, Issue : 11 Publication Date: 01/02/2015 Page(s): 575-577 |
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