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Evolving a mathematical model to represent the relation between two images with Genetic Programming

عنوان مقاله: Evolving a mathematical model to represent the relation between two images with Genetic Programming
شناسه ملی مقاله: ICS05_057
منتشر شده در پنجمین کنفرانس سراسری سیستم های هوشمند در سال 1382
مشخصات نویسندگان مقاله:

Reza Enayati - Department ofComputer of Computer Science and Engineering School of Engineering Shiraz University,Shiraz Iran
S. D Katebi

خلاصه مقاله:
This paper prenet a Genetic Programming (GP) approach in the filed of digital image processing.to find a mathematical relation between two images. The relation is a mathematical equation that maps some pixels of source image to a specified pixel of destination image. Evolving this relation with GP is the main contribution of this paper. To achieve this goal, asoftware platform called ShirazUGP has been design and implement. This is works as an Engine for a problem independent genetic programming development environment and can be used for a wide range of local image processing problem and many different problems

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/128102/