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Clustering based neural network approach for classification of road images

conference contribution
posted on 06.12.2017, 00:00 by Tejy Kinattukara JobachanTejy Kinattukara Jobachan, Brijesh VermaBrijesh Verma
This paper presents a new approach of combining clustering and neural network classifier for the classification of road images into road and sky segments. The proposed approach first creates clusters for each available class and then uses these clusters to form subclasses for each extracted road image segment. The integration of clusters in the classification process is designed to increase the learning abilities and improve the accuracy of the classification system. The experiments using clustering based neural network classifier have been conducted on the set of images obtained from Transport and Main Roads Queensland. The results have been analysed and presented in this paper.

Funding

Category 3 - Industry and Other Research Income

History

Start Page

178

End Page

183

Number of Pages

6

Start Date

01/01/2013

Finish Date

01/01/2013

ISBN-13

9781479934003

Location

Hanoi, Vietnam

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

Era Eligible

Yes

Name of Conference

International Conference on Soft Computing and Pattern Recognition