Content based image retrieval using image color feature based on varied direction and resolution filtering
Gurbakash Phonsa, Kapil Kumar Bansal, Sudhanshu Prakash Tiwari · Journal of Emerging Technologies and Innovative Research · 2018
This paper used the approach to retrieve content-based features from the image. The retrieval process having different methodologies for varied resolution handling process. Which also having the concept of handing varied rotations. As there is large amount of data is generated by different application thus a kind process is required which can store data in systematic form. This is not enough even some intelligent techniques are required that having ability to retrieve the information from saved data. The proposed approach is applied on image. The image store having varied resolution data. This resolution variation is due to the light source variation throughout the daylong. The angle of image is also varied with respect to the information available on scene. Thus, approach having ability to retrieve the required information in all scenario. By using combined feature extraction method by local energy, rotation-invariant and color features. The wavelet transforms to divide the picture into the advantages of the low-frequency and high-frequency characteristics, and establishes the multimedia processing technology model based on the wavelet transform this paper, features of local energy and are extracted in a high frequency domain of a gray image, using multi-directional resolution filtering.