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Genetic Algorithm-based High Web Flow Image Processing Technology

机译:基于遗传算法的高Web流图像处理技术

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摘要

Genetic Algorithm has received great attention because of its tremendous problem-solving potential, and has been successfully applied to many industrial fields. Genetic Algorithm refers to random search algorithm based upon natural selection and genetic principle in biology. This paper first deals with the nature and characteristics of genetic algorithm. It then goes on to analyze the application in the area of high web flow image processing technology based on genetic algorithm theory. At the end, it discusses the problems of genetic algorithm in the field of image processing and provides insight into its future trajectory.
机译:遗传算法由于其巨大的解决问题潜力而备受关注,并已成功应用于许多工业领域。遗传算法是指生物学中基于自然选择和遗传原理的随机搜索算法。本文首先探讨了遗传算法的性质和特点。然后,基于遗传算法理论,对高幅流图像处理技术领域的应用进行了分析。最后,本文讨论了遗传算法在图像处理领域中的问题,并对它的未来发展轨迹提供了见解。

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