Performance analysis of ethylene-propylene diene monomer sound-absorbing materials based on image processing recognition

In order to study the performance of rubber sound-absorbing materials, this study processed the surface of ethylene-propylene diene monomer (EPDM) rubber sound-absorbing materials based on image recognition. Simultaneously, in this study, microscopic images were obtained from macroscopic rubber materials, and the images were processed to become standard images with certain characteristics. In addition, this study combines image processing to obtain pictures related to sound absorption performance. In the identification of rubber sound-absorbing materials, this study used EPDM rubber as the material, and studied the influence of various factors on the sound absorption performance of rubber sound-absorbing materials from the technical point of view and obtained the corresponding processed images. Through research, it is found that the sound-absorbing materials of this study have good sound-absorbing effects based on the control of relevant process conditions, and the image recognition and processing functions can be applied to the research of rubber sound-absorbing materials.