Pipeline defect identification method and device and storage medium

• Main Authors: ZHAO HONG, MA YINGHAN
• Format: Patent
• Language: Chinese; English
• Published: 18.06.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention provides a pipeline defect identification method and device and a storage medium, and relates to the field of computer vision and image processing. The method comprises the steps of obtaining a color image and a depth image corresponding to a pipeline, and performing noise reduction processing on the depth image to obtain a target depth image; performing mask processing on the target depth image to obtain a mask, and performing fusion processing on the mask and the color image to obtain a fused image; obtaining a fusion effect and a fusion factor according to the fusion image, and performing optimization processing on the fusion factor according to the fusion effect to obtain a target fusion factor corresponding to the fusion image and a target fusion image; and obtaining a convolutional neural network model, performing improvement processing on the convolutional neural network model to obtain a target neural network model, and inputting the target fusion image into the target neural network mod