Sea surface recovery target detection method based on eagle-eye-imitating vision and objectness
A target detection and object-like technology, applied in the field of computer vision, can solve the problems of slow GPS update frequency, damage, low precision, etc., and achieve the effect of reducing the complexity of the algorithm
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[0079] The effectiveness of the method proposed by the present invention is verified below through a specific example of target detection for an unmanned ship recovered at sea. The experimental computer is configured with Intel Core i7-4790 processor, 3.60Ghz main frequency, 4G memory, and the software is MATLAB 2014a version. The specific steps of a sea surface recovery target detection method based on imitation eagle-eye vision and similarity are as follows:
[0080] Step 1: Obtain the image of the quasi-physical property window
[0081] The similarity detection method of binary gradient normalization BING is used to detect the similarity of the original input image I, and N=12 similarity window regions are selected, and the score of each similarity window is obtained. Sort according to the score from high to low, and the score is used to represent the probability ω that the window contains the target feature i >ω j ,i image 3 shown.
[0082] Step 2: Create an eagle eye ...
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