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首页> 外文期刊>International Journal of Engineering Research and Applications >Comparative Analysis of Various Image Fusion Techniques For Biomedical Images: A Review
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Comparative Analysis of Various Image Fusion Techniques For Biomedical Images: A Review

机译:生物医学图像多种图像融合技术的比较分析:综述

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Image Fusion is a process of combining the relevant information from a set of images, into a single image, wherein the resultant fused image will be more informative and complete than any of the input images. This paper discusses implementation of DWT technique on different images to make a fused image having more information content. As DWT is the latest technique for image fusion as compared to simple image fusion and pyramid based image fusion, so we are going to implement DWT as the image fusion technique in our paper. Other methods such as Principal Component Analysis (PCA) based fusion, Intensity hue Saturation (IHS) Transform based fusion and high pass filtering methods are also discussed. A new algorithm is proposed using Discrete Wavelet transform and different fusion techniques including pixel averaging, min-max and max-min methods for medical image fusion.
机译:图像融合是将来自一组图像的相关信息组合成单个图像的过程,其中所生成的融合图像将比任何输入图像更具信息性和完整性。本文讨论了DWT技术在不同图像上的实现,以使融合图像具有更多的信息内容。与简单图像融合和基于金字塔的图像融合相比,DWT是最新的图像融合技术,因此我们将在本文中将DWT实现为图像融合技术。还讨论了其他方法,例如基于主成分分析(PCA)的融合,基于强度色调饱和度(IHS)变换的融合和高通滤波方法。提出了一种使用离散小波变换和不同融合技术的新算法,包括像素平均,最小-最大和最大-最小方法用于医学图像融合。

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