Title :
A novel boundary approach for shape representation and classification
Author :
Sumalatha, L. ; Sujatha, B. ; Sreekanth, P.
Abstract :
Shape is an important visual feature and it is one of the basic features used to describe image content. However, shape representation and classification is a difficult task. This paper presents a new boundary based shape representation and classification algorithm based on mathematical morphology. It consists of two steps. Firstly, an input shape is represented by using Hit Miss Transform (HMT) into a set of structuring elements. Secondly, the extracted shape of the image is classified based on shape features. Experimental results show that the integration of these strategies significantly improves shape database.
Keywords :
image classification; image representation; mathematical morphology; shape recognition; transforms; HMT; Hit Miss Transform; boundary based shape representation; image content; mathematical morphology; shape classification algorithm; shape database; shape features; visual feature; Classification algorithms; Equations; Feature extraction; Morphology; Shape; Skeleton; Transforms; Hit Miss Transform; Mathematical morphology; Shape classification; Shape representation;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726673
