OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUE

KHALID ABDULHAMED ABDULJABBAR; GORAN  HAMAALI; DIARY SULAIMAN

doi:10.21271/ZJPAS.34.5.2

Authors

KHALID ABDULHAMED ABDULJABBAR Department of Electrical Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan region, Iraq. https://orcid.org/0000-0001-9326-6163
GORAN W. HAMAALI Department of Electrical Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan region, Iraq.
DIARY. R. SULAIMAN Department of Electrical Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan region, Iraq.

DOI:

https://doi.org/10.21271/ZJPAS.34.5.2

Keywords:

Image Segmentation, Thresholding, Optimization, OTSU Technique, PSO

Abstract

The process of image segmentation is how to divide images into regions with similar properties. Threshold-based image segmentation is a multidimensional optimization problem that has been highlighted as one of the most significant image pre-processing approaches. This paper proposes an efficient technique for optimizing real time image segmentation. The approach of image thresholding may be regarded an optimization objective, and it will be discovered by using Otsu's technique in conjunction with Particle Swarm Optimization basics (PSO). For real-time validation, the suggested technique was tested on several images in real time using the PSO algorithm. The simulation results showed that, when compared to Otsu's approach, the PSO algorithm gives the most efficient outcomes in real-time applications with an improved execution time.

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