
Content based Image Retrieval System Using Machine Learning
Scholars' Press
Published on 26. July 2021
Book
Paperback/Softback
60 pages
978-613-8-95658-7 (ISBN)
Description
Content based Image Retrieval Process Depending on New Matching Strategy. In this paper Proposed Model composed of four Major Phases: feature extraction, Dimensionality Reduction, ANN Classifier and Matching Strategy. feature extraction phase, it extracts a color and texture features, respectively, called color co-occurrence matrix (CCM) and difference between pixels of scan pattern (DBPSP). Dimensionality reduction technique selects the effective features that jointly have the largest dependency on the target class and minimal redundancy among themselves. The artificial neural network (ANN) in our proposed model serves as a classifier so that the selected features of query image are the input and its output is one of the multi classes that have the largest similarity to the query image.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 5 mm
Weight
107 gr
ISBN-13
978-613-8-95658-7 (9786138956587)
Schweitzer Classification
Persons
Prof. Rocky Upadhyay Currently working as an Assistant Professor in Sigma Institute of Engineering. He is having more than seven years experience in field. He is Pursuing Ph.d in Image Processing. His Masters is from SRK University and Bachelors is from Gujarat Technological University.