on wavelet transform

MA Li-xin，HUANG Da-hai，WANG Wei，ZHOU Xiao-bo

（Department of Electrical Engineering School of Optical-Electrical and Computer Engineering，

University of Shanghai for Science & Technology，Shanghai 200093，China）

Abstract：Aiming at the phenomena of the corona discharge on high-voltage apparatus and fault location，the detection system to highvoltage discharge based on UV corona technology was designed to solve the problem，and a new image fusion method based on wavelet transform which applies to UV and visible image was proposed. Ultraviolet discharge images were acquired by using the sun-blind band from 240 nm to 280 nm. In order to locate the position of the corona precisely，image fusion technology was introduced. Useful information on different scales can be extracted by wavelet transform with good time-frequency characteristics，and favorable conditions

were provided for image fusion. The algorithm was compared with weighted average method，Laplacian-based and wavelet-based through simulation experiments. The results indicate that the proposed algorithm is better than others. Its fused image is clearer and moredetailed，preserving the detail and edge effectively. The new method can meet the needs of ultraviolet detection system and improve the locating precision of the corona detection system，so as to provide the basis for solving the problem of corona.

Key words：corona discharge；fault location；detection system；wavelet