| Propellant is a kind of mixed explosive used for military equipment launching.It is the basic component of powder charge and the launching energy to promote the movement of military equipment projectiles.The performance of propellant will affect the performance of weapon.In the process of gunpowder shooting,there are a lot of harmful phenomena,such as smoke and residue,which will affect the energy utilization of weapons and the environment.In recent years,further requirements for energy utilization of propellants have been put forward,and the problem of propellant residue has gradually emerged.Therefore,this paper mainly studies the detection technology of propellant residue.Based on the study of the mechanism of propellant residue after the dynamic movement of military equipment shooting,this paper designs a detection device for propellant residue.It includes the design of propellant collection device and image acquisition device.The collection method is "area collection method".The image detection method is used to detect the propellant residue The collected residue image is processed by light and dark transformation graying denoising and edge detection.The edge detection is particularly important.A variety of image segmentation algorithms are used to calculate the propellant residue image to improve the traditional Canny algorithm In the operator processing,the setting of threshold needs to be manually set,which leads to the poor image segmentation accuracy.In this dissertation,the maximum inter class variance multi threshold method is used to obtain the image threshold.At the same time,the original Gaussian filter is used to smooth the image,while the bilateral filter is used to smooth the image.The objective evaluation edge detection method is used to compare the differences between them Then the image is calibrated.According to the image processing results,the area and number of propellant residue particles are calculated. |