Method for image processing based on improved fireworks algorithm

An image processing and firework algorithm technology, applied in the field of image processing, can solve problems such as poor results, and achieve the effects of increasing information interaction, strong robustness, and enhancing diversity

Active Publication Date: 2017-06-30
JIANGNAN UNIV
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AI Technical Summary

Problems solved by technology

Using this method can overcome the disadvantages of poor results when the traditional fireworks algorithm is applied to classification and regression, and effectively improve the results of finding the optimal value point

Method used

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  • Method for image processing based on improved fireworks algorithm
  • Method for image processing based on improved fireworks algorithm

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Embodiment Construction

[0027] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0028] refer to figure 1 Flow chart of the present invention, the realization process of the present invention is as follows:

[0029] Step 1: Randomly initialize the positions of N fireworks particles in the n-dimensional feasible domain space, denoted as the initial particle G old ; Set t=1, the iteration starts; where n and N are both positive integers.

[0030] Step 2: Calculate the position S of the explosion spark generated by the explosion of each firework particle according to a predetermined algorithm j , the explosion radius A of each firework particle j , and the position of the mutated spark produced by mutating p fireworks particles.

[0031] Specifically, step 2 includes the following sub-steps:

[0032] Step 2-1: Follow the formula Calculate the position S of the explosion spark produced by each firework particle explos...

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Abstract

The invention discloses an image processing method based on an improved fireworks algorithm, and relates to the field of image processing. The method includes: initializing the positions of N fireworks particles, denoted as initial particles G old , calculate the position S of the explosion spark produced by each firework particle explosion j , explosion radius A j , and the position of the mutation spark, and select the particle G to enter the next iteration from all particles new , to determine the initial particle G old with particle G new The optimal particle with the best fitness value among all the included particles, and optimize the other particles except the optimal particle in the direction of the optimal value according to the bacterial foraging operator, and optimize the fitness value of the optimized particles The largest N particles are used as the initial fireworks G for the next iteration old Until the optimal solution is obtained through iteration, the improved fireworks algorithm can better overcome the shortcomings of the traditional fireworks algorithm for poor results when it is applied to classification and regression, and effectively improve the results of finding the optimal value point.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image processing method based on an improved fireworks algorithm. Background technique [0002] The swarm intelligence algorithm is simple in principle and has potential parallel and distributed characteristics. It solves complex problems through collaboration and is widely used in engineering fields such as image processing, robot control, unmanned traffic driving, social behavior prediction, communication network strengthening, and power system scheduling. widely used. Inspired by the phenomenon of fireworks explosions in the night sky, Tan Ying et al. proposed a new swarm intelligence algorithm——Fireworks Algorithm (FWA) in 2010. [0003] Fireworks algorithm has a self-adjusting mechanism of local search ability and global search ability, but a large number of experiments have proved that the solution results of Fireworks algorithm for functions whose optimal solution point...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/155G06T7/136
Inventor 毛力
Owner JIANGNAN UNIV
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