Insulator Defect Detection and Recognition Method Based on Ultraviolet Imaging
A technology of ultraviolet imaging and recognition methods, applied in neural learning methods, character and pattern recognition, image analysis, etc., can solve the problems of sensor installation and monitoring system maintenance workload, and achieve the effect of reducing pressure
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0031] A method for detecting and identifying insulator defects based on ultraviolet imaging, comprising the following steps:
[0032] (1) Perform grayscale processing on the collected original RGB color ultraviolet image, and the processing formula is to obtain the grayscale image Y:
[0033] (2) Perform Gaussian filtering on the grayscale image obtained in step (1) to suppress noise, and use a 3×3 Gaussian template to convolve the grayscale image Y with the Gaussian template to obtain the image Y after suppressing noise g ;
[0034] (3) For the image Y obtained in step (2) g Perform binarization processing to obtain a binary image, and the binarization formula is:
[0035]
[0036] (4) Computing the connected domain of the binary image that step (3) obtains;
[0037] (1) The first scan:
[0038] Access current pixel B(x,y), if B(x,y)==1:
[0039] a. If the label values in the field of B(x,y) are all 0, give B(x,y) a new label value label:
[0040] label+=1, B(x,y)...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


