OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUE
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 tec...
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| Format: | Article |
| Language: | English |
| Published: |
Salahaddin University-Erbil
2022-10-01
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| Series: | Zanco Journal of Pure and Applied Sciences |
| Subjects: | |
| Online Access: | https://zancojournal.su.edu.krd/index.php/JPAS/article/view/197 |
| _version_ | 1797823062516695040 |
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| author | KHALID ABDULHAMED ABDULJABBAR GORAN W. HAMAALI DIARY. R. SULAIMAN |
| author_facet | KHALID ABDULHAMED ABDULJABBAR GORAN W. HAMAALI DIARY. R. SULAIMAN |
| author_sort | KHALID ABDULHAMED ABDULJABBAR |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T10:18:29Z |
| format | Article |
| id | doaj.art-20a99eb4c34940f6846b7f39d5818225 |
| institution | Directory Open Access Journal |
| issn | 2218-0230 2412-3986 |
| language | English |
| last_indexed | 2024-03-13T10:18:29Z |
| publishDate | 2022-10-01 |
| publisher | Salahaddin University-Erbil |
| record_format | Article |
| series | Zanco Journal of Pure and Applied Sciences |
| spelling | doaj.art-20a99eb4c34940f6846b7f39d58182252023-05-21T08:09:49ZengSalahaddin University-ErbilZanco Journal of Pure and Applied Sciences2218-02302412-39862022-10-0134510.21271/ZJPAS.34.5.2OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUEKHALID ABDULHAMED ABDULJABBAR 0GORAN W. HAMAALI 1DIARY. R. SULAIMAN2Department of Electrical Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan region, Iraq.Department of Electrical Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan region, Iraq. Department of Electrical Engineering, College of Engineering, Salahaddin University-Erbil, Kurdistan region, Iraq.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.https://zancojournal.su.edu.krd/index.php/JPAS/article/view/197image segmentationthresholdingoptimizationotsu techniquepso |
| spellingShingle | KHALID ABDULHAMED ABDULJABBAR GORAN W. HAMAALI DIARY. R. SULAIMAN OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUE Zanco Journal of Pure and Applied Sciences image segmentation thresholding optimization otsu technique pso |
| title | OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUE |
| title_full | OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUE |
| title_fullStr | OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUE |
| title_full_unstemmed | OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUE |
| title_short | OPTIMIZATION OF REAL TIME IMAGE SEGMENTATION USING EFFICIENT THRESHOLDING TECHNIQUE |
| title_sort | optimization of real time image segmentation using efficient thresholding technique |
| topic | image segmentation thresholding optimization otsu technique pso |
| url | https://zancojournal.su.edu.krd/index.php/JPAS/article/view/197 |
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