Adaptive edge detection algorithm for multi-focus application

Trong-An Bui, Pei-Jun Lee
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引用次数: 2

Abstract

This paper proposes a method of solving the problem of multi-focus through edge detection based on adaptive thresholding. Under conditions such as different light or different regions, the methods of solving the problem of multi-focus based on conventional edge detection methods will not work well because they are based on a global value of thresholding. In this paper, we will focus on processing and be applying the adaptive threshold method in determining the regions in the multi-focus problem. We will combine the clustering method as k-mean in an image to combine with the area defined by edge detection through adaptive thresholding to define the best result. The Fusion algorithm is applied to handle focused regions defined by the above method. The results and deployment environment we apply to mobile devices.
多焦点应用的自适应边缘检测算法
提出了一种基于自适应阈值的边缘检测方法来解决多焦点问题。在不同光线或不同区域等条件下,基于传统边缘检测方法的多聚焦问题的解决方法由于是基于阈值的全局值而不能很好地发挥作用。在本文中,我们将重点讨论处理和应用自适应阈值法来确定多焦点问题中的区域。我们将聚类方法结合为图像中的k-mean,通过自适应阈值分割与边缘检测定义的区域相结合,定义最佳结果。采用融合算法对上述方法定义的聚焦区域进行处理。我们应用于移动设备的结果和部署环境。
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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