A novel boundary approach for shape representation and classification

Author

Sumalatha, L. ; Sujatha, B. ; Sreekanth, P.

fYear

2013

fDate

4-6 July 2013

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on

Conference_Location

Tiruchengode

Print_ISBN

978-1-4799-3925-1

Type

conf

DOI

10.1109/ICCCNT.2013.6726673

Filename

6726673