TELKOMNIKA Telecommunication, Computing, Electronics and Control
An iterative algorithm for color space optimization on image segmentation

TELKOMNIKA Telecommunication, Computing, Electronics and Control
An iterative algorithm for color space optimization on image segmentation

Color space
Data fusion
Image segmentation
Iterative algorithm
Statistical distribution

This paper proposes, a novel hybrid color component (HCC) issued from
amounts number of color space with iterative manner, in fact traditional
images obtained by RGB sensor weren’t the effective way in image processing
applications, for this purpose we have propose a supervised algorithm to
substitute RGB level by hybrid and suitable color space at the aim to make
well representation of the handled amounts of data, this step is extremely
important because the obtained results it will be injected in many future studies
like tracking, classification, steganography and cryptography. The second part
of this paper consists to segment image coded in hybrid color space already
selected, the used algorithm is inspired from kernel function where statistical
distribution was used to model background and Bayes rule to make decision
of the membership of each pixel, in this research topics we have extended this
algorithm in the aim to improve compactness of these distribution. Cauchy
background modeling and subtraction is used, and shows the high accuracy of
automatic player detection.

Mourad Moussa

http://journal.uad.ac.id/index.php/TELKOMNIKA

Aug 29, 2020

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