Infrared Image Segmentation Algorithm for Electrical Equipment Based on Improved PSO-Otsu
Infrared image segmentation is crucial for thermal fault detection of electrical equipment.In view of the infrared images have the disadvantages of blurring and low resolution,in order to enhance the clarity of infrared images and improve the effect of infrared image segmentation,the paper proposes an Otsu electrical equipment infrared image segmentation method based on the improved PSO optimization.Firstly,the image is sharpened by Sobel operator.Secondly,the infrared image of electrical equipment is segmented by PSO-Otsu algorithm.Finally,the parameters in PSO-Otsu algorithm are optimized according to the characteristics of infrared image to improve the operation efficiency of the algorithm.The experimental results show that the images segmented by the algorithm proposed in this paper have clear contours and high recognizability.And it is better than the comparison algorithm in terms of image segmentation effect and segmentation speed,and can meet the demand for real-time processing of infrared images for electrical equipment.
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