Content Based Image Retrieval Using Transform Domain Features and Algorithms
Shaik. Rahamtula1, T. Jaya2
1Shaik. Rahamtula, Research scholar, Department of Electronics and Communication Engineering, VELS Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu, India.
2Dr. T. Jaya, Assistant Professor, Department of Electronics and Communication Engineering, VELS Institute of Science Technology and Advanced Studies, Pallavaram, Chennai, Tamil Nadu, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 3008-3011 | Volume-9 Issue-1, November 2019. | Retrieval Number: A9125119119/2019©BEIESP | DOI: 10.35940/ijitee.A9125.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, Content Based Image Retrieval using Transform domain features and algorithms has been implemented. The image can be decomposed by Discrete Wavelet Transform (DWT) to extract the features based on DC coefficients. Each sub-image is calculated by mean, variance and standard deviation to get more efficient recognition. The database image also applied in the domain of Stationary Wavelet Transform (SWT) and Integer Wavelet Transform (IWT) by using different distance measures. The proposed algorithm is the combination of DWT, SWT and IWT has been implemented using COREL database. This proposed method has more efficient recognition and less computational time over existing methods
Keywords: Content Based Image Retrieval, Discrete Wavelet Transform, Stationary Wavelet Transform and Integer Wavelet Transform.
Scope of the Article: Image analysis and Processing