Comparison of DE and PSO optimization performance when maximizing CR and QR entropies.

<p>N is the number of iterations, T is the execution time and Y is the reached optimum.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Adel A. Bahaddad (14593230) (author)
مؤلفون آخرون:	Sayed Abdel-Khalek (21722191) (author), Salem Alkhalaf (17542155) (author), Hanadi M. AbdelSalam (22272341) (author), Anis Ben Ishak (20314640) (author), Mersaid Aripov (22272344) (author)
منشور في:	2025
الموضوعات:	Medicine Cell Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified traditional classical approaches rapidly advancing field particle swarm optimization meaningful regions remains experimental results demonstrate based fitness function optimal thresholding values nyi entropy used information contained within comprehensive comparative analysis proposed quantum method enhance segmentation quality image &# 8217 accurately segmenting images elevating image segmentation image thresholding image analysis resulting entropy information theory image segmentation quantum system quantum computing xlink "> work presents wilcoxon test statistical significance research introduces recent advancements innovative approach first improve efficient technique critical challenge 2d histogram
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