Snake model based on PSO optimization for coal mine environment object detection
Abstract：Proposed a new algorithm for coal mine complex environment object contour detection.Solved the traditional Snake model has poor anti-noise ability and cannot converge to the concave in optimizing process.Algorithm improved Snake model to make it automatically assign the snake points with a topology adaptive.The crude convergence results as the initial outline of PSO.Particle swarm optimization process is easy to lose swarm diversity and converge to local extremum.Combined with genetic breeding and mutation thought algorithm can solve the problems above.Eliminated particles with low fitness,increased constraints between adjacent particles,improved the convergence accuracy through nonlinear inertia weight adaptive adjustment method.Experiment compared the unimodal,multimodal functions and simulated images with traditional methods,confirmed the effectiveness of the improved algorithm.It has a good prospect in object detection under low illumination and poor resolution coal mine environment.
Keywords：PSOSnake modelcoal mineobject contourGA
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)