Title: A Study on Query-Based Image Retrieval using SVM


Volume 9 Issue 2 Year 2019

Authors:

Binay Kumar Yadav

binay.yadavskit@email.com
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA),

Neha Janu

ijskit@skit.ac.in
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA),

Mukesh Kumar Gupta

mukeshgupta@skit.ac.in
Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan Jaipur-302017, (INDIA)

Pages: 15-21


Abstract:

In this information technology era, images
have become a major part of information processing.
In the Image registration processing, image plays an
important role to extract the information about the
object in various fields like in medical, tourism and
geological, weather systems forecasting. There are
many traditional Techniques those have been used to
retrieve images. It interactively determines the user’s
query by asking the users whether the image is
relevant (similar) or not. In content-based image
retrieval (CBIR) system, effective organization of the
image database used to improve the performance of
the system.The study of content-based image retrieval
(CBIR) technique has become an important research
issue. In this way, we have Studied and done analysis
of various features as an individual or in
combinations.Wefound that image Registration
processing (IRP) is the key area in above mentioned
industries. Various research papers through color
feature and texture feature extraction were studied
and concluded that point cloud data structure is best
for image registration process using Iterative Closest
Point (ICP) algorithm.

Keywords:
CBIR, SVM, Feature Extraction, Point Cloud