Automatic construction of image transformation processes using genetic algorithm

T. Nagao, S. Masunaga
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引用次数: 34

Abstract

A method to approximate the image transformation from an original image to its ideally processed target image by a sequence of several image transformation filters is proposed in this paper. The ideally processed image is assumed to be generated manually by the use of drawing software. In this method, the order of applying image transformation filters is determined by a genetic algorithm. This method can be applied to construction of an expert system for image processing.
利用遗传算法自动构造图像变换过程
本文提出了一种利用一系列图像变换滤波器近似实现从原始图像到经过理想处理的目标图像的图像变换的方法。理想的处理图像假定是通过使用绘图软件手动生成的。该方法采用遗传算法确定图像变换滤波器的应用顺序。该方法可应用于图像处理专家系统的构建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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