Abstract

Image registration is an old topic but has a new application in deep-sky imaging fields named live stacking. In this Letter, we propose a live stacking algorithm based on star detection, description, and matching. A thresholding method based on Otsu and centralization is proposed to implement star detection. Then, a translation and rotation invariant descriptor is proposed to provide accurate feature matching. Extensive experiments illustrate that our proposed method is feasible in deep-sky image live stacking.

© 2016 Chinese Laser Press

Improving night sky star image processing algorithm for star sensors

Mohammad Vali Arbabmir, Seyyed Mohammad Mohammadi, Sadegh Salahshour, and Farshad Somayehee
J. Opt. Soc. Am. A 31(4) 794-801 (2014)

Vignetting correction for a single star-sky observation image

Di Zhang, Qing Yun Yang, and Tao Chen
Appl. Opt. 58(16) 4337-4344 (2019)

Registration of 3D point clouds using a local descriptor based on grid point normal

Jiang Wang, Bin Wu, and Jiehu Kang
Appl. Opt. 60(28) 8818-8828 (2021)

Live imaging of laser machining via plasma deep learning

James A. Grant-Jacob, Ben Mills, and Michalis N. Zervas
Opt. Express 31(25) 42581-42594 (2023)

Efficient and accurate registration with BWPH descriptor for low-quality point clouds

Zhihua Du, Yong Zuo, Xiaohan Song, Yuhao Wang, Xiaobin Hong, and Jian Wu
Opt. Express 31(23) 39307-39322 (2023)