多焦点图像融合的Dempster-Shafer和Alpha稳定距离

R. Sabre, I. Wahyuni
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引用次数: 0

摘要

多焦点图像融合的目的是将具有不同焦点对象的图像进行融合,得到具有所有焦点对象的图像。本文提出了一种基于Dempster-Shafer理论和α稳定距离的多焦点图像融合方法。该方法考虑了像素周围区域的信息。实际上,在每个像素上,该方法利用了由像素I(x,y)的值与属于其邻居的所有像素的值之间的二次差计算的局部可变性。局部变率用于确定质量函数。本研究考虑了DempsterShafer理论中的两类:模糊部分和聚焦部分。结果表明,该方法能得到显著的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dempster-Shafer and Alpha Stable Distance for Multi-Focus Image Fusion
The aim of multi-focus image fusion is to integrate images with different objects in focus so that obtained a single image with all objects in focus. In this paper, we present a novel multi-focus image fusion method based using Dempster-Shafer Theory and alpha stable distance. This method takes into consideration the information in the surrounding region of pixels. Indeed, at each pixel, the method exploits the local variability that is calculated from quadratic difference between the value of pixel I(x,y) and the value of all pixels that belong to its neighbourhood. Local variability is used to determine the mass function. In this work, two classes in DempsterShafer Theory are considered: blurred part and focus part. We show that our method give the significant result.
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