摘要
数字图像技术是提取和描述沥青混合料细观结构的有效途径,可以通过图像增强、图像分割实现集料和其他组分的分离。通过灰度变换方法调整图像的动态灰度范围,便于进行后续的图像分割处理。结合Matlab软件实现图像的灰度变换增强,同时采用代数运算、除噪滤波进行处理,实现了混合料图像的分割处理及边界识别。
Digital image technology is an effective method, which can extract and describe the micro-structure of asphalt mixture. Based on image enhancement and image segmentation, aggregates can he separated from other components. Image gray-scale transformation adjusts the dynamic range of gray in order to facilitate the following image segmentation treatment. Combined with Matlab software, gray-scale transformation was carried out. Simultaneously, by means of algebraic operations and noise filtering, image segmentation and boundary identification of asphalt mixture were fulfilled.
出处
《交通信息与安全》
2009年第5期154-157,共4页
Journal of Transport Information and Safety
基金
江苏省自然科学基金项目(批准号:BK2008218)
江苏省高校自然科学基础研究项目(批准号:08KJD560008)资助
关键词
沥青混合料
数字图像
灰度变换
图像增强
图像分割
asphalt mixture
digital image
gray-scale transformation
image enhancement
image segmentation
