Home           Contact us           FAQs           
    
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
    Abstract
2017 (Vol. 14, Issue: 8)
Research Article

An Efficient Static Filters for Sky Detection

1Irfan Ullah, 1Yang Fan, 1Gao Bing, 2RehanUllah Khan, 3Farhan Ullah and 1Kai Liu
1State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China
2Department of Information Technology, Qassim University, Al-Qassim, KSA
3Lab of Service Computing, Shanghai University, Shanghai, China
 

DOI: 10.19026/rjaset.14.4951
Submitted Accepted Published
March 20, 2016 May 25, 2017 August 15, 2017

  How to Cite this Article:

1Irfan Ullah, 1Yang Fan, 1Gao Bing, 2RehanUllah Khan, 3Farhan Ullah and 1Kai Liu, 2017. An Efficient Static Filters for Sky Detection.  Research Journal of Applied Sciences, Engineering and Technology, 14(8): 276-280.

DOI: 10.19026/rjaset.14.4951

URL: http://www.maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.14.4951

Abstract:


For colour based detection, the benefit of the static filter is the simplicity of the detection rules. Sky colour can be estimated in a precise cluster in any colour space if the conditions for the images remain constant (illumination controlled environment). A static sky filter clearly defines the boundaries that the sky has in a colour space. One or numerous varieties of threshold values for each colour space segments are shaped and the sky pixel values within these ranges for all the selected colour segments are defined as sky pixels. In this article, we have investigated and evaluate static sky filters for sky detection in complex scenarios. As a contribution, three new static sky filters for the RGB, nRGB and HSV colour spaces developed in this article. The highest performance (F-measure) depicted by the HSV colour space which is 0.56 while the lowest performance reported by the RGB colour space having an F-measure of 0.43. The three new static filters RGB, nRGB and HSV colour spaces are evaluated on the dataset (of 1000 complex images) by F-Measure elevation. Experimental results show that the viability of the developed static sky filters. It has also found that since the static filters use static boundaries, any shift of sky colour ranges from the defined boundaries affect the over-all performance.

Abstract PDF HTML
    References


    Competing interests

The authors have no competing interests.
    Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

    Copyright

© The Author(s) 2017

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved