Molten Pool Contour Segmentation in Complex Scenes Based on Improved CLAHE Algorithm
Aiming at the problem that it is difficult to segment the molten pool contour due to low contrast and too many interference areas of the molten pool image in complex scenes containing tungsten pole,wire feed rod,metal oxide and other elements,the CLAHE(limited contrast adaptive histogram equalization)algorithm was applied to the molten pool image processing field.Firstly,the image was denoised,then an image segmentation method of molten pool based on improved CLAHE algorithm was applied to enhance the image.Finally,the Otsu algorithm was used to segment the enhanced image.The improved CLAHE algorithm combines CLAHE algorithm and gamma correction to overcome the defects of low contrast and many interference areas of the original image.Three images of molten pool in complex scenes were randomly selected for processing objects,and it was compared with other algorithms.The results show that the proposed algorithm has significantly improved enhancement effect and the segmentation results.It not only improves the molten pool edge contrast,but also suppresses the interference area,improves the accuracy and completeness of the molten pool contour segmentation,which is helpful to accurately identify the molten pool edge during automatic welding,prevent undercut and ensure the welding quality.
complex sceneimage enhancementCLAHE algorithmmolten pool contour segmentation
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