Optical Prior-Based Underwater Object Detection with Active Imaging

Algorithm 1

Optical prior-based underwater object detection.

	Input: source image X (size n), .
	Output: the object region
	For n iterations do
	Feature seed extraction
	Find k largest to identify the feature seeds
	Feature seed propagation
	Generate detection results and in CIELab and LBP feature spaces by graph optimization
	End for
	Result combination
	Return The binary map R for object detection