基于局部特性的月球撞击坑边缘处理方法研究  

Treatment of Lunar Crater Edge Based on the Partial Features

作　　者：蒋先刚[1] 胡玉林[1] 胡传秀[1] 张盼盼[1] 

机构地区：[1]华东交通大学理学院,江西南昌330013

出　　处：《华东交通大学学报》2015年第1期105-109,125,共6页Journal of East China Jiaotong University

基　　金：国家自然科学基金项目(61262031);中国科学研究院地理研究院科研项目(YQZX-HT-KY-QT-20120119-1);江西省高校科技落地计划项目(KJLD12067)

摘　　要：针对月球撞击坑边缘检测的问题,主要研究了基于局部统计特性的各向Sobel算子的撞击坑边缘检测方法。依据撞击坑图像模型的特点,采用属性形态学方法消除噪声对边缘的干扰,并提出针对局部弱边界保留和伪边界消除的多向Sobel算子的权重调整方法,使撞击坑边缘依局部分布特性而自适应加强,较好地保持了撞击坑边缘重要细节和特征。Aiming at lunar crater edge detection, it mainly studies the edge detection method by muhidirectional Sobel operator based on the partial statistic feature. According to the characteristics of the crater model, it eliminates the interference of noise on edge by attribute morphology. Then it puts forward a method of self-adaptive weighted multidirectional Sobel operators to enhance edge of craters, which removes pseudo boundary from the image and keeps useful week boundary concurrently by implementing pixeFs partial statistic features. The proposed treatment can keep the important details of the crater image＇s periphery and features.

关 键 词：SOBEL算子 局部特性 属性形态学 撞击坑边缘检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]