Image Fusion for Scene Classification using Machine Learning

Authors(2) :-Chaitali Swan, Dr. N. V. Chaudhari

Image fusion is the mechanism of gathering all important information. It is not only reduce data but also more appropriate and understandable for human and machine. Scene classification is widely used in day to day lifecycle. Their importance is increasing gradually. Scene classification is a classification which classify the image according to their area of importance. In this paper, Image is segmented, features of image are extracted and information is stored in database about image. Lastly, image is classified by machine learning and output comes in the text format. We use machine learning based support vector machine for classification which is more accurate than KNN classifier. The main aim of this study is to improve the accuracy and to reduce the delay of computation for the system.

Authors and Affiliations

Chaitali Swan
Department of Computer Science and Engineering DBACER, Nagpur, India
Dr. N. V. Chaudhari
Department of Computer Science and Engineering DBACER, Nagpur, India

Scene Classification, Machine Learning, Support Vector Machine (SVM), KNN Classifier, Machine Learning based SVM.

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Publication Details

Published in : Volume 5 | Issue 6 | March 2019
Date of Publication : 2019-03-16
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 163-165
Manuscript Number : IJSRSET1510
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Chaitali Swan, Dr. N. V. Chaudhari, " Image Fusion for Scene Classification using Machine Learning, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 6, pp.163-165, March-2019. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET1510

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