Now days there are different methods are present for evaluation of features of images, but there is no common effort
developed for the comparison of the quality of image. Here we highlight the similarity based matching technique which will help in
matching of the images. This method involves the comparison of points in one image to other, which reduces the complex algorithm
implementation. The frames are extracted 1per/sec and frames are taken into a folder for reference match. Key image defines the image to
be matched along frames extracted from videos. The image with the high similarity index is displayed as matched image. This would help
in analyzing the image in greater depth.
Published In:IJCSN Journal Volume 8, Issue 6
Date of Publication : December 2019
Pages : 451-457
Tables : --
Prof. Ramesh M. Badiger :
completed B.E in
2009,M.Tech in 2011 and perusing PhD and
has 9 year of teaching experience. Received
Second Prize, International National
Conference for the paper entitled "Text
Extraction From Road Side Display Boards
Using Wavelet and SVM" held at TRINITY
(isle) Bangalore and also Second Prize,
National Conference for the paper entitled
"Cross Layer Adaptation in Media Delivery in Wireless Sensor
Network "held at J.N.N I.T CHENNAI. Ha has published many
national and International papers.
Dr. Dharmanna Lamani :
working as HOD of information science
and engineering at SDM Institute of
technology, Ujire, Karnataka. He
obtained M.Tech degree from VTU,
Belagavi. He was awarded Ph.D.
Degree in computer science and
engineering from VTU, Belagavi. Earlier
worked as Sr. Lecturer in the
department of Computer Science
Engineering from Nov 2007 to August 01 2009 at East West
Institute of Technology (EWIT) Bangalore. Also he worked as
Lecturer in the department of Computer Science Engineering
from Nov 05 2005 to Nov 01 2007 at B.T.L. Institute of
Technology Bangalore His research interests includes Medical
Image Processing, Embedded System design, Pattern
Recognition and Computer Networking. He has published
around 20 papers in reputed Journals and conferencea.
Key Frame, Similarity index, Threshold
In the field of computer vision image analysis is main
objective. Analysis can be carried out on the frames
extracted from the video. We have adopted a structural
similarity value to indicate the difference between the
images. Fames are extracted from the video 1per sec.
Quality of the analysis can still be improved by reducing
the rate at which frames are extracted from the video. The
transfer rate and transmission time can be minimized by
eliminating the similar frames.
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