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Active Contours based Object Detection and Extraction using SPF Parameter

by Savan Kumar Oad, Karuna Markam, Aditya Kumar Bhatt
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 8
Year of Publication: 2013
Authors: Savan Kumar Oad, Karuna Markam, Aditya Kumar Bhatt
10.5120/10658-5440

Savan Kumar Oad, Karuna Markam, Aditya Kumar Bhatt . Active Contours based Object Detection and Extraction using SPF Parameter. International Journal of Computer Applications. 64, 8 ( February 2013), 36-40. DOI=10.5120/10658-5440

@article{ 10.5120/10658-5440,
author = { Savan Kumar Oad, Karuna Markam, Aditya Kumar Bhatt },
title = { Active Contours based Object Detection and Extraction using SPF Parameter },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 8 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number8/10658-5440/ },
doi = { 10.5120/10658-5440 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:53.509348+05:30
%A Savan Kumar Oad
%A Karuna Markam
%A Aditya Kumar Bhatt
%T Active Contours based Object Detection and Extraction using SPF Parameter
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 8
%P 36-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we propose a new region-based Active Contour Model (ACM) that employs signed pressure force (SPF) as a level set function. Further, a flood fill algorithm is incorporated along with SPF function for robust object extraction. Signed pressure force (SPF) parameters, is able to control the direction of evolution of the region. The proposed system shares all advantages of the C–V and GAC models. The proposed ACM has an additional advantage i. e. of selective local or global segmentation. Flood Fill framework is employed for retrieving the object upon successful detection in the image. In addition, the computer simulation results show that the proposed system could address object detection within an image and its extraction with highest order of efficiency.

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Index Terms

Computer Science
Information Sciences

Keywords

Image segmentation signed pressure force parameters flood fill algorithm threshold segmentation

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