一种稳健的高效角点特征提取变换  

A Robust and Efficient Feature Extract Transform

作　　者：陈敏[1] 邵振峰[1] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2013年第10期1142-1147,共6页Geomatics and Information Science of Wuhan University

基　　金：国家973计划资助项目(2010CB731800);国家自然科学基金资助项目(61172174);中央高校基本科研业务费专项基金资助项目(201161902020014)

摘　　要：针对目前基于加速分割的高效角点检测方法存在角点定位不准、对图像亮度变化以及图像边缘敏感等问题,提出了一种鲁棒的高效角点特征提取变换REFET。该算法首先基于人类视觉的颜色恒常性进行图像增强以提高算法对图像亮度变化的鲁棒性,然后根据对角相似性约束对图像进行边缘点粗检测,最后通过一种自适应的检测模板进行角点提取,获取定位准确的角点特征。实验结果表明,本文提出的REFET方法在保证时间效率的同时,提高了特征的定位准确度和对图像亮度变化的鲁棒性,较好地抑制图像边缘点。The efficient feature detection is a crucial step for various tasks in computer vision. However, the corner location is not very accurate and some edge pixels have high responses for the kind of corner detector based on the accelerated segment test. Furthermore, this kind of method is sensitive to the change of illumination. This paper presents a robust and effi- cient feature extraction transform （REFET）. The method includes three steps： firstly, the input image is enhanced based on the color constancy of the human vision system. Then, a coarse edge pixel detection method is used to eliminate edge points in the image. Finally, an adaptive mask is proposed to extract corners accurately and efficiently. The experiments demonstrate that the proposed method improves the corner localization accuracy and the ro- bustness for illumination, and the edge points are suppressed in the results.

关 键 词：特征提取 FAST算法 REFET算法 自适应模板 

分 类 号：P237.3[天文地球—摄影测量与遥感]