External insulation discharging detecting method based on ultraviolet light spots
An external insulation and ultraviolet light technology, applied in the field of detection, can solve problems such as the inability to guarantee the detection accuracy and detection efficiency of external insulation discharge, the inability to extract the area of ultraviolet light spots, etc., to improve the accuracy and detection efficiency, strong anti-interference ability, The effect of a high degree of automation
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Embodiment 1
[0086] attached image 3 It is an ultraviolet discharge image with a single spot on an insulator string obtained by an ultraviolet imager, and the area of the discharge spot is 345 pixels. The results of edge operator processing are attached Figure 4 ~ Figure 8 shown. The threshold is obtained by the adaptive threshold method, and the image is binarized based on the threshold to obtain a binary image, and the image is opened by mathematical morphology to obtain the image as attached Figure 9 shown. During the binarization process, the optimal threshold is manually adjusted continuously, and the obtained binary image is processed by mathematical morphology, and the image obtained is as attached Figure 10 ~ Figure 12 shown. The active contour model obtains the edge contour and the original image as attached Figure 13 shown.
[0087] attached by Figure 4 ~ Figure 8It can be seen that for the actual ultraviolet discharge image, the detection results obtained by the c...
Embodiment 2
[0089] attached Figure 14 It is the ultraviolet discharge image of multiple light spots on the insulator string obtained by the ultraviolet imager, and the light spot pixels from top to bottom are 88, 168, 105 and 410 pixels respectively. The processing results of conventional edge detection operators are attached Figure 15 ~ Figure 19 shown. Use the adaptive threshold method to binarize the image to obtain a binary image, and then use mathematical morphology to open the operation according to the obtained image to obtain the image as attached Figure 20 shown. During the binarization process, the optimal threshold value is manually adjusted continuously, and the obtained binary image is processed by mathematical morphology, as shown in the attached image. Figure 21 ~ Figure 23 shown. Multiple edge contours and original images obtained by the active contour model are attached Figure 24 shown.
[0090] attached Figure 15 ~ Figure 19 with attached Figure 9 ~ Figure...
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