Open AccessContent Based Image Retrieval using Transform Domain Features and Algorithms
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a9125.119119
Subject(s) - discrete wavelet transform , second generation wavelet transform , stationary wavelet transform , pattern recognition (psychology) , computer science , wavelet transform , artificial intelligence , algorithm , domain (mathematical analysis) , wavelet , wavelet packet decomposition , harmonic wavelet transform , image (mathematics) , computer vision , mathematics , mathematical analysis
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