Image Retrieval Method Utilizing Texture Information Derived from Discrete Wavelet Transformation Together with Color Information

Abstract: Image retrieval method utilizing texture information which is derived from Discrete Wavelet Transformation: DWT together with color information is proposed. One of the specific features of the texture information extracted from portions of image is based on Dyadic wavelet transformation with forming texture feature vector by using energy derived from Gabor transform on 7 by 7 pixel neighbor of significant points. Using the Wang`s dataset, the proposed method is evaluated with retrieval success rate (precision and recall) as well as Euclidian distance between the image in concern (Query image) and the other images in the database of interest and is compared to the other method. As the result through the experiments, it is found that the DWT derived texture information is significantly effective in comparison to the color information.

Kohei Arai and Cahya Ragmad. “Image Retrieval Method Utilizing Texture Information Derived from Discrete Wavelet Transformation Together with Color Information”. International Journal of Advanced Research in Artificial Intelligence (IJARAI) 5.10 (2016). http://dx.doi.org/10.14569/IJARAI.2016.051001

@article{Arai2016,
title = {Image Retrieval Method Utilizing Texture Information Derived from Discrete Wavelet Transformation Together with Color Information},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.051001},
url = {http://dx.doi.org/10.14569/IJARAI.2016.051001},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {10},
author = {Kohei Arai and Cahya Ragmad}
}