Research article

EXPLORING AND IMPLEMENTING HARRIS CORNER OBJECT DETECTION ALGORITHM FOR UNDERWATER ACOUSTICS NETWORK

Sukhman Kaur, Dr. Rajneesh Randhawa

Online First: December 30, 2022


Due to the importance of underwater exploration in the creation and utilisation of underwater resources, underwater autonomous operation is more essential for avoiding the dangerous high-pressure underwater environment and for furthering the research of marine life. The most crucial technology for autonomous operation underwater is extensive computer vision. Underwater vision requires poor lighting and poor picture augmentation as a preprocessing method in an underwater setting.. In this paper, edge detection and grey-scale imaging are combined to improve underwater vision and detect underwater images. The research paper focuses on the working principle of the Harris Corner Object Detection algorithm.The algorithms have been analyzed and elaborated via appropriate flowcharts, algorithms, and implementations. The reading has been obtained for different performance evaluation metrics. Average R Score and Threshold values have been computed for different instances made to run on the Harris Corner Object Detection .

Keywords

grey-scale, edge detection, Harris Corner Object Detection