Meteor Detection via MATLAB using Image Processing Toolbox and Hough Transformation
In this project I've tried to detect meteors using various night sky images depicting a possible meteor by applying the principles of Hough Transform and other available system functions.
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Converting the RGB Image into it's Grayscale Equivalent.
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Followed by converting the Grayscale Image into a Binary Image where 1 represents all the white values and 0 represents all the black values.
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The image is then processed further by available smoothening techniques and filtering it to remove noises.
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Using the Hough Function available in MATLAB i.e. (hough) implements the Standard Hough Transform (SHT). The Hough Transform is designed to detect lines, using the parametric representation of a line:
rho = x*cos(theta) + y*sin(theta)
Where the variable rho is the distance from the origin to the line along a vector perpendicular to the line. theta is the angle between the x-axis and this vector. The hough function generates a parameter space matrix whose rows and columns correspond to these rho and theta values, respectively.
By applying Hough Transformation in the processed image a raw image is produced with detected lines, which gives us an idea of a possible meteor.
Refernce - Kubičková, E.A.: Searching of Meteors in Astronomical Images on the Basis of MATLAB Toolbox. Technical Computing Bratislava 2010, 18th Annual Conference Proceedings, Bratislava: RT Systems in cooperation with Systémy priemyselnej informatiky, s.r.o., 2010. ISBN 978-80-970519-0- 7.
Input Image -
Output Image -
