Artificial bee colony refine edge potential field function-based unmanned plane target identification method

A technology of artificial bee colony optimization and potential field function, applied in character and pattern recognition, computer parts, instruments, etc.

Inactive Publication Date: 2010-11-24
BEIHANG UNIV
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Problems solved by technology

[0009] The present invention proposes a UAV target recognition method based on artificial bee colony optimization edge potential field function, and its purpose is to provide an effective way to solve UAV shape feature matching, and can also be applied to other complex intelligent optimization problems

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  • Artificial bee colony refine edge potential field function-based unmanned plane target identification method
  • Artificial bee colony refine edge potential field function-based unmanned plane target identification method
  • Artificial bee colony refine edge potential field function-based unmanned plane target identification method

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Embodiment Construction

[0071] The performance of the UAV target recognition algorithm based on the artificial bee colony algorithm optimization edge potential field function proposed by the present invention is verified below by a specific embodiment, which adopts a 149 × 128png format collected by the aerial robot vision system The image to be matched and a target image that needs to be found by the aerial robot, which is an image in 67×66png format, are used as the verification object. The experimental environment is 1.6Ghz, 512M memory, MATLAB version 7.0, a UAV target recognition method based on artificial bee colony optimization edge potential field function, and its specific implementation steps are as follows:

[0072] Step 1. Preprocessing the image to be matched. The target image is denoised by median filtering, and the edge is extracted by the canny operator, so as to obtain the binary image of the image to be matched.

[0073] Step 2. According to the binary distribution of the image to ...

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Abstract

The invention discloses an artificial bee colony refine edge potential field function-based unmanned plane target identification method. The method comprises the following steps of: 1, pre-processing an image; 2, calculating edge potential field distribution of an image to be matched; 3, initializing algorithm parameters of an artificial bee colony; 4, calculating a function value of the adaptability degree of each employed bee individual according to the edge potential field distribution of the image to be matched; 5, selecting the employed bee with more preferential value of the adaptability degree as a leading bee according to probability and searching a nectar source in surrounding space by a worker bee, and calculating the corresponding adaptability degree value; 6, updating the position of the employed bee according to the greed selection method; 7, searching a new nectar source around again by the employed bee; and 8, adding 1 to iterations, continuing the steps from the step 4 until the set maximum iterations is reached to finish the calculation, and outputting the optimal result. The method effectively improves the reliability and precision of the unmanned plane target identification.

Description

(1) Technical field [0001] The invention relates to an artificial bee colony (Artificial Bee Colony, ABC)-based optimized edge potential field function (Edge Potential Function, EPF) UAV target recognition method, which belongs to the cross field of aerospace and computer vision information processing. (2) Background technology [0002] Unmanned Air Vehicle (UAV) is an unmanned aerial vehicle that is powered, controllable, can carry multiple mission equipment, perform multiple tasks, and can be reused. With the continuous improvement of the performance of UAVs, and its advantages of small size, flexibility, and difficulty in being discovered, UAVs are used in reconnaissance and patrolling, building surveys, aerial map drawing, and clearing obstacles in dangerous environments. And other military and civilian special fields have shown huge application potential, so it has been generally valued by countries all over the world. Target recognition has always been a very importan...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/64G06N3/00
Inventor 段海滨徐春芳吴江李昊
Owner BEIHANG UNIV
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