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Intelligent Image Classification-Based on Spatial Weighted Histograms of Concentric Circles
Computer Science and Information Systems, Tome 15 (2018) no. 3 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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As digital images play a vital role in multimedia content, the automatic classification of images is an open research problem. The Bag of Visual Words (BoVW) model is used for image classification, retrieval and object recognition problems. In the BoVW model, a histogram of visual words is computed without considering the spatial layout of the 2-D image space. The performance of BoVW suffers due to a lack of information about spatial details of an image. Spatial Pyramid Matching (SPM) is a popular technique that computes the spatial layout of the 2-D image space. However, SPM is not rotation-invariant and does not allow a change in pose and view point, and it represents the image in a very high dimensional space. In this paper, the spatial contents of an image are added and the rotations are dealt with efficiently, as compared to approaches that incorporate spatial contents. The spatial information is added by constructing the histogram of circles, while rotations are dealt with by using concentric circles. A weighed scheme is applied to represent the image in the form of a histogram of visual words. Extensive evaluation of benchmark datasets and the comparison with recent classification models demonstrate the effectiveness of the proposed approach. The proposed representation outperforms the state-of-the-art methods in terms of classification accuracy.
Keywords: Image Classification, Bag of Visual Words, Support Vector Machine, Weighted Histograms of Concentric Circles 
@article{CSIS_2018_15_3_a10,
     author = {Bushra Zafar and Rehan Ashraf and Nouman Ali and Mudassar Ahmed and Sohail Jabbar and Kashif Naseer and Awais Ahmad and Gwanggil Jeon},
     title = {Intelligent {Image} {Classification-Based} on {Spatial} {Weighted} {Histograms} of {Concentric} {Circles}},
     journal = {Computer Science and Information Systems},
     year = {2018},
     volume = {15},
     number = {3},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2018_15_3_a10/}
}
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AU  - Bushra Zafar
AU  - Rehan Ashraf
AU  - Nouman Ali
AU  - Mudassar Ahmed
AU  - Sohail Jabbar
AU  - Kashif Naseer
AU  - Awais Ahmad
AU  - Gwanggil Jeon
TI  - Intelligent Image Classification-Based on Spatial Weighted Histograms of Concentric Circles
JO  - Computer Science and Information Systems
PY  - 2018
VL  - 15
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ID  - CSIS_2018_15_3_a10
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%A Bushra Zafar
%A Rehan Ashraf
%A Nouman Ali
%A Mudassar Ahmed
%A Sohail Jabbar
%A Kashif Naseer
%A Awais Ahmad
%A Gwanggil Jeon
%T Intelligent Image Classification-Based on Spatial Weighted Histograms of Concentric Circles
%J Computer Science and Information Systems
%D 2018
%V 15
%N 3
%U http://geodesic.mathdoc.fr/item/CSIS_2018_15_3_a10/
%F CSIS_2018_15_3_a10
Bushra Zafar; Rehan Ashraf; Nouman Ali; Mudassar Ahmed; Sohail Jabbar; Kashif Naseer; Awais Ahmad; Gwanggil Jeon. Intelligent Image Classification-Based on Spatial Weighted Histograms of Concentric Circles. Computer Science and Information Systems, Tome 15 (2018) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2018_15_3_a10/