Application of Petrochemical Heat Equipments' State Inspection Based on the Edge Detection of Infrared Image Segmentation

Abstract

According to the problem of petrochemical heat equipment status inspection and fault diagnosis, a method based on edge detection of infrared image segmentation was presented studying the infrared image segmentation based on edge detection and combining Roberts operator into best threshold segmentation method to do simulation of buoyant, medium and heavy damaged equipments. Experimental result shows that edge detection operator of best threshold value has ideal effects to the image edge extraction's target area of thermal infrared equipment.

Fire detection algorithm of infrared thermal imaging in petrochemical area based on improved YOLOv4-tiny framework and time-domain feature analysis

“…Infrared thermal imaging technology was first applied in the military field. With the gradual decline of the cost of infrared detectors, especially uncooled infrared detectors, researchers began to use infrared thermal imaging technology to monitor specific places in petrochemical areas [4][5][6] . More and more manufacturers of infrared thermal imaging and security monitoring products have also expanded the product line of infrared thermal imaging security monitoring in petrochemical areas.…”