Quaternion linear colour edge-sharpening filter using genetic algorithm

Shagufta Yasmin, S. Sangwine
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引用次数: 1

Abstract

A quaternion linear colour edge-sharpening filter is presented. A quaternion convolution mask is created using a genetic algorithm (GA) and a zooming technique. When the new filter is applied to colour images, it produces sharpened colour edges in all directions in regions where colour (but not intensity) edges occur in the image. The methodology of the proposed filter depends on the zooming technique and fitness function. The new filter is tested on different kind of colour images and the experimental results show that the proposed scheme is needed for sharpening colour edges in all directions with only one mask. This proposed filter is a great achievement for developing linear colour vector image filters because it is difficult to design manually/mathematically. This new filter is an example of a linear colour vector image filter developed using genetic algorithm and zooming techniques.
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采用遗传算法的四元数线性彩色边缘锐化滤波器
提出了一种四元数线性彩色边缘锐化滤波器。利用遗传算法(GA)和缩放技术创建了四元数卷积掩模。当新的滤波器应用于彩色图像时,它会在图像中出现颜色(但不是强度)边缘的区域的所有方向上产生锐化的颜色边缘。所提出的滤波器的方法依赖于缩放技术和适应度函数。在不同类型的彩色图像上进行了测试,实验结果表明,该方法只需要一个掩模就可以在所有方向上锐化颜色边缘。该滤波器对于开发线性彩色矢量图像滤波器是一项伟大的成就,因为它很难手工/数学地设计。这个新的过滤器是一个例子,一个线性彩色矢量图像过滤器开发利用遗传算法和缩放技术。
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