Image Retrival using Content Base Image Retrival and JEC
Volume: 6 - Issue: 12 - Date: 01-12-2017
Approved ISSN: 2278-1412
Published Id: IJAECESTU326 | Page No.: 1207-1211
Author: Nitin Singh Thakur
Co- Author: Ankita Mowar
Abstract:-In this research work HAAR and Gabor wavelet is used for feature extraction process.
Feature extraction is the important part in retrieving image from the data set. The features of the
media items are extracted and their values and indices are saved in the database. Then the index
structure is employed to ideally filter all irrelevant things by checking attributes with the user’s
question. Relevance is judged based on the content of media things. With the help of feature
extracted from image a histogram is created. For Filtering the photographs median filter is
employed. The median filter could be a non –linear digital technique, usually used to remove
noise. Jec (joint equal contribution) and l1-l2 (lasso) algorithm helps in similarity comparison of
image. It matches the extracted features of image to the dataset images. Lasso is applied to
identify those features that are more relevant for capturing image similarity. After getting the
similarity images similar to the query image get retrieved. We have used recall and precision as
the deciding factor for evaluating the performance of the CBIR.
Key Words:-Expansion query, graph-based learning, image retrieval, query fusion, reranking
Area:-Engineering
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