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An Efficient Region Detection base on Guided Filtering and Features Extraction

by Sonali Karan, Shailendra Ku. Shrivastava
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 159 - Number 8
Year of Publication: 2017
Authors: Sonali Karan, Shailendra Ku. Shrivastava
10.5120/ijca2017913003

Sonali Karan, Shailendra Ku. Shrivastava . An Efficient Region Detection base on Guided Filtering and Features Extraction. International Journal of Computer Applications. 159, 8 ( Feb 2017), 12-16. DOI=10.5120/ijca2017913003

@article{ 10.5120/ijca2017913003,
author = { Sonali Karan, Shailendra Ku. Shrivastava },
title = { An Efficient Region Detection base on Guided Filtering and Features Extraction },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 159 },
number = { 8 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume159/number8/27020-2017913003/ },
doi = { 10.5120/ijca2017913003 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:05:13.122819+05:30
%A Sonali Karan
%A Shailendra Ku. Shrivastava
%T An Efficient Region Detection base on Guided Filtering and Features Extraction
%J International Journal of Computer Applications
%@ 0975-8887
%V 159
%N 8
%P 12-16
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Here in this paper a new and efficient technique for the Saliency Region Detection using Guided Filtering & Random Walker Segmentation for the Extraction of features from Natural Images and finally Support Vector Machines is applied for the training of these features. The Proposed Methodology implemented here is applied on MSRA Natural Image Datasets and comparison is done with the existing SGNR algorithm. The Proposed methodology provides higher Precision and recall rate in comparison.

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Index Terms

Computer Science
Information Sciences

Keywords

Saliency Region Detection Natural Images Guided Filtering Random Walker Segmentation SVM.

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