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Object Recognition using Disk based Morphological Shape Decomposition Features

by G. Rama Mohan Babu, B. Raveendra Babu, A. Srikrishna, N. Venkateswara Rao
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 2
Year of Publication: 2013
Authors: G. Rama Mohan Babu, B. Raveendra Babu, A. Srikrishna, N. Venkateswara Rao
10.5120/12714-9528

G. Rama Mohan Babu, B. Raveendra Babu, A. Srikrishna, N. Venkateswara Rao . Object Recognition using Disk based Morphological Shape Decomposition Features. International Journal of Computer Applications. 73, 2 ( July 2013), 29-33. DOI=10.5120/12714-9528

@article{ 10.5120/12714-9528,
author = { G. Rama Mohan Babu, B. Raveendra Babu, A. Srikrishna, N. Venkateswara Rao },
title = { Object Recognition using Disk based Morphological Shape Decomposition Features },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 2 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 29-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number2/12714-9528/ },
doi = { 10.5120/12714-9528 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:58.869151+05:30
%A G. Rama Mohan Babu
%A B. Raveendra Babu
%A A. Srikrishna
%A N. Venkateswara Rao
%T Object Recognition using Disk based Morphological Shape Decomposition Features
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 2
%P 29-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The ability of object recognition system is to recognize a large number of objects constrained by a variety of factors such as the selection of a feature extraction method, quality of the images, and the classification models. This paper presents an approach to the recognition of complex shape objects using shape representation features. The shape representation features are the disk components which are calculated from morphological shape decomposition technique. The disk components of the shapes are generated using disk component generation Algorithm. These disk components are more primitive and easily matched with other disk components that are from another shape. These features are tested using the Quadratic classifier on different shapes. It is observed that the classifier gives good accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Mathematical morphology Shape decomposition Disk components Feature vector Object recognition and Classification

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