Edge detection in planet image using an improved partial area effect algorithms

Yong Zhang; Jie Jiang; Guangjun Zhang

doi:10.1117/12.2505412

12 December 2018 Edge detection in planet image using an improved partial area effect algorithms

Yong Zhang, Jie Jiang, Guangjun Zhang

Proceedings Volume 10846, Optical Sensing and Imaging Technologies and Applications; 108462B (2018) https://doi.org/10.1117/12.2505412
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

The images of a planet captured by the optical sensor system can provide a lot of serviceable navigation information for space exploration missions. Accurate measurement of a planet centroid is one of the important tasks for deep-space autonomous optical navigation. In order to improve the accuracy of centroid localization, a novel sub-pixel edge detection algorithm is proposed. First, image pre-processing technology is adopted to eliminate the effect of stars and stray light. Second, the edge of a planet at the pixel level is extracted using Sobel’s operator. Next, a new sub-pixel edge extraction algorithm of adaptive rotating template is proposed based on an improved partial area effect algorithm. Partial area effect algorithm is an effective edge detector based on an edge and acquisition model, which using the vertical or parallel template. We construct a new rotatable adaptive template, which is to align the direction of the template with the gradient direction of the edge pixel points. Finally, we estimated the planet center using least squares ellipse fitting. The result indicates that the algorithm can achieve higher location accuracy and robustness to noise.

Citation Download Citation

Yong Zhang, Jie Jiang, and Guangjun Zhang "Edge detection in planet image using an improved partial area effect algorithms", Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108462B (12 December 2018); https://doi.org/10.1117/12.2505412

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