Computing Similarities of Images: A Point Cloud-based Approach

被引：0
|
作者：
Piegl L.A. [1 ]
Beasley Z.J. [1 ]
机构：
[1] University of South Florida, United States
来源：
Computer-Aided Design and Applications | 2023年 / 20卷 / 03期
关键词：
medical images; NURBS; point cloud; similarity;
D O I：
10.14733/cadaps.2023.507-521
中图分类号：
学科分类号：
摘要：
This paper presents a methodology to measure the degree of similarity between two images quantitatively. The research was motivated by a medical application to search a database of MRI/CT images for comparative medical diagnosis. The proposed algorithm converts the image into a point cloud, fits a NURBS (planar) surface to the points, and uses symbolic algebra on these surfaces to determine which image is most similar to a given query image. © The Authors.
引用
收藏
页码：507 / 521
页数：14
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