Improved image segmentation method based on optimized higher-order polynomial
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJNAA-14-1_212
تاریخ نمایه سازی: 5 شهریور 1402
Abstract:
Image segmentation is an essential task in images analyzing images. At the pixel level, the images characterize as:۱) an object from its background, or ۲) 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.
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Authors
Anmar Jameel Naji
Department of Computer Science, College of Computer Science and Information Technology, University of Kirkuk, Kirkuk, Iraq
Shehab A. Ibrahem
Department of Computer Science, College of Computer Science and Information Technology, University of Kirkuk, Kirkuk, Iraq
Shahla U. Umar
Department of Computer Science, College of Computer Science and Information Technology, University of Kirkuk, Kirkuk, Iraq