Abstract
We propose a markerless image alignment method for pressure-sensitive paint measurement data replacing the time-consuming conventional alignment method in which the black markers are placed on the model and are detected manually. In the proposed method, feature points are detected by a boundary detection method, in which the PSP boundary is detected using the Moore-Neighbor tracing algorithm. The performance of the proposed method is compared with the conventional method based on black markers, the difference of Gaussian (DoG) detector, and the Hessian corner detector. The results by the proposed method and the DoG detector are equivalent to each other. On the other hand, the performances of the image alignment using the black marker and the Hessian corner detector are slightly worse compared with the DoG and the proposed method. The computational cost of the proposed method is half of that of the DoG method. The proposed method is a promising for the image alignment in the PSP application in the viewpoint of the alignment precision and computational cost.
Highlights
Academic Editor: Artur DybkoThe pressure-sensitive paint (PSP) technique is an optical flow diagnosis method for measuring pressure on a model to which a PSP coating is applied [1,2,3,4]
The alignment of the reference and the run images is an important procedure in the post-processing of PSP data, because the misalignment of the images leads to large measurement error
We propose a markerless image alignment method based on a boundary detection method
Summary
The pressure-sensitive paint (PSP) technique is an optical flow diagnosis method for measuring pressure on a model to which a PSP coating is applied [1,2,3,4]. Since the positions of the markers in both reference and run images are detected and linked manually in the method proposed by Fujimatsu et al [33], the Received: 22 November 2021. Since the positions of black markers are heuristically determined, the performance of the image alignment will vary by the researchers In these conventional methods using black markers, pressures at the markers cannot be measured. There are many studies on image alignment/registration in various fields such as computer vision and medical image fields [34,35], these methods are not directly applicable to the PSP images This is because the images obtained in the PSP measurement usually consist of white solid color (luminescence from PSP) and black solid color (background) parts with few features. The performance of the proposed method is compared with the conventional method based on black markers, the difference of Gaussian (DoG) detector, and the Hessian corner detector
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