关键词: 轮胎印痕, 灰度理论, 粒子群算法, 归一化准则

Abstract: Tire prints and wear characteristics segmentation is the prerequisite of the computer-aided tire prints recognition system which can confirm vehicles in an accident. According to the characteristics of tire image acquired at the scene, a kind of combination of grey theory and particle swarm algorithm of normalized image segmentation is put forward. This method uses the grey relation analysis to measure the similarity between pixels, and derives from normalized criteria to the dual-threshold criteria. Experimental results show that the algorithm can have an effective segmentation to tire prints image and underline the tire wear features, especially have a high calculating speed, and lay the foundation for the next feature extraction and recognition.

Key words: tire prints, grey theory, particle swarm algorithm, normalized criteria