一种基于特征和强度的SSIM优化混合图像配准技术

2021 International Conference on Computing, Communication and Green Engineering (CCGE) Pub Date : 2021-09-23 DOI:10.1109/CCGE50943.2021.9776407

T. Kumari, Vikrant Guleria, P. Syal, A. Aggarwal

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引用次数: 2

摘要

提出了基于图像中存在的特征或相应的强度信息对两幅图像进行对齐的混合图像配准方法。提出的工作背后的动机是，没有一种方法或算法适用于任何类型的图像。基于SURF特征的算法用于提取、匹配和描述图像中存在的特征。对图像中存在的强度信息采用$1+1$进化和规则阶跃梯度下降算法。本文采用SSIM、MSE、PSNR、IQI、PCC和SSD作为评价配准精度的性能参数，表明配准前后的配准效果都有所改善。

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A Feature Cum Intensity Based SSIM Optimised Hybrid Image Registration Technique

The hybrid image registration method is proposed to align two images based on the features or corresponding intensity information present in the images. The motivation behind the proposed work is that there is no one method or algorithm available that is suitable for any kind of images. SURF feature-based algorithm is used to extract, match, and describe the features present in the image. $1+1$ evolutionary and regular step gradient descent algorithm is used for intensity information present in the images. The performance parameter to evaluate registration accuracy used in the proposed work are SSIM, MSE, PSNR, IQI, PCC and SSD which shows improvement in prior and post registration results.

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来源期刊

2021 International Conference on Computing, Communication and Green Engineering (CCGE)

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