A Feature Extraction Algorithm Based on Structural Light in Sea-air Imaging

Autor:	Bijian Jian, Yongfa Ling, Ting Pen, Changli Mai
Rok vydání:	2021
Předmět:	History business.industry Sea air ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Artificial intelligence business Feature extraction algorithm Geology Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1865:022009
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1865/2/022009
Popis:	The distortion phenomena in sea-air imaging mainly include geometric distortion, color deviation and low contrast. In order to obtain the target information accurately, it is of great significance to study the distortion image correction. More feature information can be obtained by using grid structured light. However, the random fluctuation of water surface and the complexity of underwater imaging environment, the traditional corner detection algorithm can not effectively obtain the correct corner information. In this paper, a fast corner detection algorithm based on minimum kernel value (MRSFAST) is proposed. The experimental results show that compared with the traditional detection algorithm, the algorithm can extract the feature point information of the image in real time, which is of great significance to further realize the distortion image correction.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e862bbaa51c8dc0e2ff51205023f9846 https://doi.org/10.1088/1742-6596/1865/2/022009 Zobrazit plný text záznamu