Research on an Image Fusion Algorithm for Rifled Pipe Parts

Based on the image acquisition device of the photoelectric system, this paper develops the image processing method of image fusion to image the internal image of the tube parts taken in segments. This method is convenient for quantitative analysis of the surface quality of the inner bore of the tube...

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Bibliographic Details
Main Authors: Bai, Xiaotao, Cai, Huanxi, Li, Jie, Wang, Weiqi
Format: Conference Proceeding
Language:English
Subjects:
Correlation
Feature extraction
Image fusion
Image recognition
Inspection
Noise
Statistical analysis
Surface morphology
Surface topography
Surface treatment
Vectors
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Summary:Based on the image acquisition device of the photoelectric system, this paper develops the image processing method of image fusion to image the internal image of the tube parts taken in segments. This method is convenient for quantitative analysis of the surface quality of the inner bore of the tube parts. 10 inner wall images of the tube parts are taken with the non-contact image acquisition device of the photoelectric system within a distance of 20 cm, and the rust position is found. The feature points of the images are extracted by SIFI algorithm, processed and described by the feature points, and image registration is realized by phase correlation method to achieve image fusion. After fusion, the 10 images can show the surface topography information of the inner bore, and retain the information of the rust part. This method provides information reference for the surface detection of pipe parts.
ISSN:2770-663X
DOI:10.1109/ICISCAE62304.2024.10761396