Study on Image Enhancement Method of High Voltage Equipment Corona UV Imaging Detection
Shenghui Wang · Gaoya dianqi · 2009
Under the low illumination environment,using the Ultraviolet imager to detect high-voltage equipment external corona discharge,the output image is blurred and affects the location,analysis and recognition of discharge fault,so it is necessary to take certain image processing algorithm to improve the image quality.After a brief analysis of the characteristics of this type of ultraviolet images,the method of image enhancement with filtering and gray level transformation is proposed in this paper.The de-noising effect of spatial filtering,frequency domain filtering and wavelet de-noising is compared and analysis,then by using segmentation gray scale linear transform and adaptive histogram equalization algorithm,the image brightness and contrast is improved.Through practical engineering application,the effectiveness of this method has been verified.