关键词: 粒子密度, 粒子群优化算法, 蛇模型, 主动轮廓线模型, 曲线提取

Abstract: Data acquisition based on existing drawings is an important part of basin modeling. But the digital acquisition faces the trade-off between efficiency and accuracy. Combining the target detection and Particle Swarm Optimization (PSO) technique, an improved Snake curve extraction algorithm based on particle density was proposed. The algorithm maintained a certain distance between particles to avoid the premature of PSO algorithm, and optimized convergence speed by modifying the model parameters. Compared with the traditional PSO algorithm, the experimental results show that the proposed algorithm is efficient, and has been applied in practical project.

Key words: particle density, Particle Swarm Optimization (PSO), Snake model, active contour model, curve detection