Heterogeneous image registration method and system

US12067728B2 · kind B2 · utility

Assignee

• Shanghai Jiao Tong University · CN

Inventors

• Yadong Liu · Woodland, US
• Yingjie Yan · Shanghai, CN
• Qian Jiang · Longbeilingcun, CN
• Ling Pei · Shanghai, CN
• Zhe Li · Zhejiang, CN
• Peng Xu · Beijing, CN
• Lei Su · Beijing, CN
• Xiaofei Fu · Yuhui District, CN
• Xiuchen Jiang · Shanghai, CN

Key dates

• Filing date: Jun 8, 2020
• Grant date: Aug 20, 2024
• Expiry date: Mar 19, 2041

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02T10/40
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A heterogeneous image registration method includes: performing edge detection on collected images, in combination with a curvature scale space strategy to extract contour curved segments in an edge image. Implementing a feature point detection strategy based on global and local curvature detecting feature points in the contour curved segments, and obtaining the nearest minimum local curvature of the feature points pointing to starting and end points of the contour, respectively. Calculating the number of neighborhood sampling points and neighborhood auxiliary feature points of neighborhoods on both edges of each of the feature points according to the nearest minimum local curvature. Using neighborhood auxiliary feature points and feature points to form a feature triangle, calculating an angle bisector vector and a main direction corresponding to the feature point in the feature triangle. The present invention is remarkable, accurate, and has high adaptability to the image registration scene of electric equipment.