基于灰度变换的沥青混合料图像增强及分割实现  

Image Enhancement of Asphalt Mixture Based on Gray-scale Transformation and Its Segmentation Treatment

作　　者：钱野[1] 袁峻[1] 

机构地区：[1]扬州大学建筑科学与工程学院,江苏扬州225009

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

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.

关 键 词：沥青混合料 数字图像 灰度变换 图像增强 图像分割 

分 类 号：U416.217[交通运输工程—道路与铁道工程]