A Review on LBP in Image Retrieval System for Future Enhancement and Vector Images
Keyword(s):
Content-Based Image Retrieval is a process to retrieve the similar images from the large set of image database corresponding to the query image. In CBIR low level or pixel level features such as color, texture and shape of the images are extracted and on the basis of similarity matching algorithm the required similar kind of images are retrieved from the image database. To understand the evaluation and evolution of CBIR system various research was studied and various research is going on this way also. In this paper, we have discussed some of the popular pixel level feature extraction techniques for Content-Based Image Retrieval and we also present here about the performance of each technique.
Unsupervised Content Based Image Retrieval by Combining Visual Features of an Image With A Threshold
2012 ◽
pp. 149-154
Keyword(s):
System A
◽
2019 ◽
Vol 8
(11)
◽
pp. 2185-2192
2021 ◽
Vol 5
(1)
◽
pp. 28
2018 ◽
Vol 17
(2)
◽
pp. 7215-7225
2013 ◽
pp. 294-299
2013 ◽
Vol 5
(3)
◽
pp. 604-613