Journal of Cognitive Human-Computer Interaction
JCHCI
2771-1463
2771-1471
10.54216/JCHCI
https://www.americaspg.com/journals/show/905
2021
2021
Query-Based Image Retrieval using Support Vector Machine (SVM)
Adavanced Engineering Specialist, Accenture, Ireland, Europe
Ajay
G
Professor, Department of Computer Science and Engineering, JAIN University, Bangalore, 560069 India
Abhishek
Kumar
Associate Professor, Department of Computer Science and Engineering ,Karunya Institute of Technology and Sciences, Coimbatore, 641114, India
Venkatesan
R
In many industries, the picture of the day now plays an important role in extracting information about the item. Many traditional image retrieval techniques have been used. It answers the user's question interactively by asking whether the image is relevant. In this digital age, graphics have become an important part of information processing. The image plays an important role in extracting information about the object in a variety of areas, including weather systems, tourism, medicine, and geology, in the processing of image registrations. There are several methods for retrieving images. It determines a person's inquiry interactively by asking users whether the image is relevant (similar). The efficient image database business has improved the process's functioning in the content-based image recovery system (CBIR). Content-based image recovery (CBIR) research has grown in importance. As individuals, we have studied and investigated various features in this manner or in combinations. We discovered that image Registration Processing (IRP) is a critical area in the industries. Several research papers on color feature and texture feature extraction were reviewed, and it was determined that point cloud data structure is best for image registration using the Iterative Closest Point (ICP) algorithm.
2021
2021
28
36
10.54216/JCHCI.010104
https://www.americaspg.com/articleinfo/25/show/905