Article: Intelligent registration techniques of power equipment's using data fusion of contour-based infrared and visible data Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.20 pp.1 - 18 Abstract: This paper proposes an automatic registration method for power equipment images using contour centreline main orientation features. Addressing low accuracy caused by scale/viewpoint variations in multi-modal images (infrared and visible), the method detects contour corner points as feature points, assigns scale/viewpoint-invariant orientation features through centreline analysis, and employs improved scale-invariant feature transform (SIFT) descriptors with connecting-line consistency matching to determine transformation parameters. Experimental results demonstrate registration errors of 2.742 and 2.543 in scenarios with subtle and significant viewpoint differences respectively, outperforming traditional SIFT, speeded-up robust features (SURF) and partial intensity invariant feature descriptor (PIIFD) methods. This approach effectively resolves complex-scenario registration challenges, providing an effective solution for intelligent monitoring of power equipment. Inderscience Publishers - linking academia, business and industry through research

Title: Intelligent registration techniques of power equipment's using data fusion of contour-based infrared and visible data

Authors: Gang Yang; Na Zhang; Shucai Li; Fan Hu; Jichong Liang; Dawei Wang

Addresses: State Grid Shanxi Electric Power Research Institute, Taiyuan, Shanxi, 030001, China ' State Grid Shanxi Electric Power Research Institute, Taiyuan, Shanxi, 030001, China ' State Grid Shanxi Lvliang Power Supply Company, Lvliang, Shanxi, 033000, China ' State Grid Shanxi Electric Power Research Institute, Taiyuan, Shanxi, 030001, China ' State Grid Shanxi Electric Power Research Institute, Taiyuan, Shanxi, 030001, China ' State Grid Shanxi Electric Power Research Institute, Taiyuan, Shanxi, 030001, China

Abstract: This paper proposes an automatic registration method for power equipment images using contour centreline main orientation features. Addressing low accuracy caused by scale/viewpoint variations in multi-modal images (infrared and visible), the method detects contour corner points as feature points, assigns scale/viewpoint-invariant orientation features through centreline analysis, and employs improved scale-invariant feature transform (SIFT) descriptors with connecting-line consistency matching to determine transformation parameters. Experimental results demonstrate registration errors of 2.742 and 2.543 in scenarios with subtle and significant viewpoint differences respectively, outperforming traditional SIFT, speeded-up robust features (SURF) and partial intensity invariant feature descriptor (PIIFD) methods. This approach effectively resolves complex-scenario registration challenges, providing an effective solution for intelligent monitoring of power equipment.

Keywords: infrared and visible image; image registration; contour centreline; feature matching.

DOI: 10.1504/IJICT.2025.146809

International Journal of Information and Communication Technology, 2025 Vol.26 No.20, pp.1 - 18

Received: 04 Dec 2024
Accepted: 03 Mar 2025
Published online: 18 Jun 2025 *

Title: Intelligent registration techniques of power equipment's using data fusion of contour-based infrared and visible data

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