关键词: 数学形态学, 多结构元素, 边缘检测, 自适应权重

Abstract: In order to solve the inaccuracy problem of asphalt pavement crack image edge extraction, based on multi-scale morphology, asphalt pavement crack detection algorithm is proposed accoording to characteristics of crack shape irregularity and weak signal. The proposed algorithm employs operators of noise immunity edge detection with multiple structure elements, and according to the variable probability of multiple structure elements fill up edges of crack, an algorithm of adaptive weight is brought forward, it has not only a good ability to smoothing filter, but also a strong ability to extract the multiple image edge. Compared with the traditional edge detection algorithm, the proposed algorithm has restrained noise jamming effectively while detecting the all kinds of asphalt pavement crack accurately, theoretical analysis and experimental results show that the algorithm is efficient and feasible.

Key words: mathematics morphology, multiple structure elements, edge detection, adaptive weight