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Spatially Localized Circular and Overlapped Feature Extraction for Gray Scale Images using Gabor Jets

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 61 - Number 7
Year of Publication: 2013
Authors:
Siddhaling Urolagin
Prema K. V
Jayakrishna R
10.5120/9943-4583

Siddhaling Urolagin, Prema K V and Jayakrishna R. Article: Spatially Localized Circular and Overlapped Feature Extraction for Gray Scale Images using Gabor Jets. International Journal of Computer Applications 61(7):40-44, January 2013. Full text available. BibTeX

@article{key:article,
	author = {Siddhaling Urolagin and Prema K. V and Jayakrishna R},
	title = {Article: Spatially Localized Circular and Overlapped Feature Extraction for Gray Scale Images using Gabor Jets},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {61},
	number = {7},
	pages = {40-44},
	month = {January},
	note = {Full text available}
}

Abstract

Extracting the effective features from the image for object recognition is one of the most important problems in computer vision. One of the usual methods of feature extraction is through binarization process. Binarizing the gray scale image has many disadvantages: vital brightness information loss, difficult to set proper threshold. In this paper feature-extracting method directly from the gray scale images using Gabor jets is discussed. Rather than naïve use of Gabor jets as features, a spatially localized circular and overlapped method for computing the features of Gabor jets to form feature vectors has been proposed. To demonstrate the effectiveness and efficacy of feature extraction method, classification of objects under presence of significant amount distortion using simple classifier such as K-nearest neighbor is done. A good rate of recognition is observed in the experimental results.

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