【作者】 伯绍波；

【导师】 闫茂德；

【作者基本信息】 长安大学 ， 交通信息工程及控制， 2008， 硕士

【摘要】 路面破损检测是高速公路养护与管理工作中很重要的一部分,但我国在路面破损检测方面运用的仍然是传统方法,已不能满足高速公路路面养护与管理的需求。论文基于国内公路交通行业发展的迫切需要,探讨了针对沥青路面裂缝类破损的图像检测算法及系统。论文的主要工作和取得的研究成果有:(1)针对路面图像中裂缝目标和背景区域灰度值相近,不利于裂缝目标的提取,将模糊集合理论引入到沥青路面裂缝检测中,提出了一种封闭性和移植性好的广义模糊变换算子,并将其应用于图像增强算法中,可以很好地增强裂缝边缘的信息。(2)针对实际应用中很难兼顾边缘提取算法的图像处理效果和速度,利用梯度算子获得图像中的感兴趣区域,再构造四种结构元素,结合形态学梯度和OTSU算子提取感兴趣区域的边缘,提出了一种改进的数学形态学边缘检测算法,其不仅具有很好的边缘提取能力,而且具有很快的处理速度。(3)对提取出的物体进行标识和统计,将统计出的噪声滤除,通过区域填充技术弥合裂缝中的空隙,并对处理后的裂缝进行分类。然后对规则裂缝进行细化,通过计数的方法计算出规则裂缝的长度和宽度,或通过蚕食方法计算出不规则裂缝的面积。(4)基于图像处理技术设计了一种沥青路面裂缝检测系统。在Visual C++ 6.0软件开发环境下,借助Mil-Lite 8.0软件开发包,实现了系统的各个模块及相关的图像处理算法。并将该系统应用于沥青路面裂缝检测,实验结果表明,该系统检测效果好、检测精度高,具有很高的实用性和推广性。更多还原

【Abstract】 Pavement distress detection plays an important role in the highway management and maintenance. But the traditional method for the pavement distress detection is still used in our nation. This method has many disadvantages, which disatisfies with the requirement for the highway management and maintenance. Based on that the highway construction and transit is urgently in need of the automation management, the image detecting algorithms and system are discussed for the asphalt pavement crack in this thesis. The main work and accomplishment are as follows:(1) The gray of the crack target is close to that of the background region, so it is very hard to pick up the crack target. In order to solve this problem, the fuzzy set theory is introduced to crack detection for the asphalt pavement. A novel generalized fuzzy image enhancement operator with close-character and transplantable-character is proposed. Then the presented operator is applied to image enhancement algorithm, which can enhance the crack edge better.(2) In the practical applications, it is difficult to make a balance between processing effect and processing speed for the edge detection algorithm. In order to solve this problem, a novel edge detection algorithm is presented based on the mathematics morphology. The proposed algorithm employs the gradient operator to gain the interested regions in the image. Based on the morphology-gradient operator and OTSU segmentation operator, then the proposed algorithm constructs four structural elements to detect the edges in interested regions. This algorithm has not only a good ability to extract the image edge, but also a fast speed ability to process the image.(3) The extracted objects are marked and computed, and the marked noises are filtered. The interspaces of the crack are filled by region filling method. Then the gained cracks are classified as regular cracks and irregular cracks. At last, the length and width of the thinned regular crack are obtained by counting method, or the area of the irregular crack is obtained by nibbling method.(4) A novel crack detecting system for the asphalt pavement is proposed based on the image processing technology. In the programming environment of Visual C++ 6.0, the corresponding modules and image processing algorithms are implemented by dint of Mil 8.0 SDK. Finally, this system is applied to the asphalt pavement crack image detection experiment, and the experiment result is satisfactory. So the presented system has very high practicability and generality.更多还原