Online Template Matching Using Fuzzy Moment Descriptor View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Arup Kumar Sadhu , Pratyusha Das , Amit Konar , Ramadoss Janarthanan

ABSTRACT

In this paper a real-time template matching algorithm has been developed using Fuzzy (Type-1 Fuzzy Logic) approach. The Fuzzy membership-distance products, called Fuzzy moment descriptors are estimated using three common image features, namely edge, shade and mixed range. Fuzzy moment description matching is used instead of existing matching algorithms to reduce real-time template matching time. In the proposed matching technique template matching is done invariant to size, rotation and color of the image. For real time application the same algorithm is applied on an Arduino based mobile robot having wireless camera. Camera fetches frames online and sends them to a remote computer for template matching with already stored template in the database using MATLAB. The remote computer sends computed steering and motor signals to the mobile robot wirelessly, to maintain mobility of the robot. As a result, the mobile robot follows a particular object using proposed template matching algorithm in real time. More... »

PAGES

275-282

Book

TITLE

Advanced Computing, Networking and Informatics- Volume 1

ISBN

978-3-319-07352-1
978-3-319-07353-8

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-07353-8_33

DOI

http://dx.doi.org/10.1007/978-3-319-07353-8_33

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015520850


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