Improved image segmentation method based on optimized higher-order polynomial

	Improved image segmentation method based on optimized higher-order polynomial
International Journal of Nonlinear Analysis and Applications
مقاله 212، دوره 14، شماره 1، فروردین 2023، صفحه 2701-2715 اصل مقاله (2.79 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.29382.4144
نویسندگان
Anmar Jameel Naji؛ Shehab A. Ibrahem^* ؛ Shahla U. Umar
Department of Computer Science, College of Computer Science and Information Technology, University of Kirkuk, Kirkuk, Iraq
چکیده
Image segmentation is an essential task in images analyzing images. At the pixel level, the images characterize as:1) an object from its background, or 2) the rest of the objects from each other. Therefore, image segmentation refers to applying a vast diffusion over several domains. This article proposes an improved image segmentation method. To get the segmented image, we determine the multi-thresholds by minimizing a higher-order polynomial curve fitting for an image and choosing the best threshold. The method can be utilized on grey images. The findings demonstrate that our method is effective and robust in image segmentation.
کلیدواژه‌ها
Image segmentation‎؛ ‎ Polynomial function؛ Optimization
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