ISSN: 2375-3846
American Journal of Science and Technology  
Manuscript Information
 
 
Automated Identification of Sunspots Area Size Using Sobel Edge Detection and Image Histogram
American Journal of Science and Technology
Vol.2 , No. 6, Publication Date: Jan. 21, 2016, Page: 329-334
1561 Views Since January 21, 2016, 1242 Downloads Since Jan. 21, 2016
 
 
Authors
 
[1]    

Esraa Zeki Mohammed, Kirkuk Department, State Company for Internet Services, Kirkuk City, Iraq.

[2]    

Hussain Salih Akbar, Physics Department, College of Science, Kirkuk University, Kirkuk City, Iraq.

 
Abstract
 

A sunspot is the cooler region of the Sun’s photosphere which appears dark on the Sun’s disc, and a solar flare is sudden, short lived, burst of energy on the Sun’s surface, lasting from minutes to hours. This paper presents automated identification of sunspots area. The technique includes Sobel edge-detection as well as an extraction of statistical properties of the detected objects for area calculation. The Sobel filter were applied on sun images after preprocessing for accurate detection of sunspots and active regions on the sun, then the color histogram were used to determine the exact number of pixels inside these detected edges which used to study sunspots growth.


Keywords
 

Color Histogram, Sobel Filter, Solar Flares, Sunspots


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