Method for Ship Segmentation in Optical Remote Sensing Images Based on Edge and Region Information
Aiming at problem of low segmentation accuracy for ship target in optical remote sensing images,a ship target segmentation method in images based on edge and region information is pro-posed.Firstly,the traditional Canny algorithm is improved with guided filtering,and the ship's re-mote sensing image waiting for segmentation is preprocessed to maintain the edge integrity of ship's structure.Thus,a coarse segmentation result is obtained.Then,threshold selection method for recip-rocal gray entropy based on optimized cuckoo search is presented to carry out fine ship target segmen-tation.Finally,mathematical morphology method is introduced,and the segmentation result is cor-rected.Thus,the complement of ship target is ensured.A large number of experimental results show that the method shows excellent segmentation performance,and it can provide a better segmentation scheme in domain of ship detection and recognition.
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