Development and experimental validation of a novel algorithm to estimate the speed of objects moving faster than the capture speed of cameras
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Sci Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Measuring the vibration frequency of structures with image processing methods is one of the non-contact measurement methods. However, the frequency to be measured should be lower than the camera capture speed. In this study, a method was developed to extract and to compare pattern characteristics of data acquired from a pixel of a low-speed camera. At the first stage, images of a rotating disk were recorded at known frequencies to find out the camera's response. After that, distinctive features were extracted both from the raw and clustered intensity data acquired from the pixels of the recorded images. At the second stage, pixel intensity data of a rotating disk with an unknown frequency was also recorded with the same camera. Similarly, features were extracted from these data, and they were compared with the features at known frequencies. A frequency range was found for the unknown frequency value in this way. Finally, the unknown frequency value was estimated by interpolation in the frequency range. The method was verified on an experimental setup, and five unknown frequency values were successfully estimated. Consequently, higher frequencies than the capture speed of the camera were correctly estimated using the developed method. On the other hand, it was also noticed that the clustering of the discrete intensity data was also significant.
Açıklama
Anahtar Kelimeler
Frequency Estimation, Low-Speed Cameras, Feature Recognition, Signal Processing, Image Processing
Kaynak
Optics And Lasers In Engineering
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
128
