Digital Image Processing

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Content-Based Image Retrieval by the Extraction of Color and Shape Features


Affiliations
1 Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, India
     

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Content-Based Image Retrieval (CBIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. Due to enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. The basis of presenting this paper is the retrieval of images based on the color and shape components with SURF descriptors in the query images. The proposed CBIR system, extracts color features using HSV color model and shape features using shape components. The performance of the retrieval system has been analyzed by Precision and Recall. Practical implementations of the above techniques are done using MATLAB. The efficiency of the proposed image retrieval techniques is tested using Caltech-101 image database.


Keywords

Content Based Image Retrieval, Color, Shape, SURF etc.
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  • Abdolraheem Khader Alhassan and Ali Ahmed Alfaki, (2017) ’Color and Texture Fusion-Based Method for Content-Based Image Retrieval’, International Conference and Communication, Control and Electronics Engineering.

  • Muhammad Fachrurrozi, Erwin et al., (2017) ‘Multi-Object Face Recognition using Content Based Image Retrieval(CBIR)’,International Conference on Electronics and Computer Science, pp193-197.

  • Shiraaz Saad,Harendra Kumar et al., (2017) ‘Efficient content Based Image Retrieval using SVM and Color Histogram’, Tenth International Conference on Contemporary Computing (IC3).

  • Kaouther Zerki,Amel Frissa Touz et al., (2017) ‘A Comparative Study of Texture Descriptor Analysis for Improving Content Based Image Retrieval’, ICCAD-17,Hammamet-Tunisia,pp247-253.

  • Chaitanya Vijaykumar Mahamuni and Neha Balasaheb Wagh, (2017) ‘Study of CBIR Methods for Retrieval of Digital Images based on Color and Texture Extraction’, International Conference on Computer Communication and Informatics (ICCCI).


Abstract Views: 241

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  • Content-Based Image Retrieval by the Extraction of Color and Shape Features

Abstract Views: 241  |  PDF Views: 4

Authors

M. Priyadarrshini
Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, India
R. Udhaya
Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, India
V. K. Shalini
Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, India
A. Sumithra
Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, India

Abstract


Content-Based Image Retrieval (CBIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. Due to enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. The basis of presenting this paper is the retrieval of images based on the color and shape components with SURF descriptors in the query images. The proposed CBIR system, extracts color features using HSV color model and shape features using shape components. The performance of the retrieval system has been analyzed by Precision and Recall. Practical implementations of the above techniques are done using MATLAB. The efficiency of the proposed image retrieval techniques is tested using Caltech-101 image database.


Keywords


Content Based Image Retrieval, Color, Shape, SURF etc.

References