摘要
提出了一种检测特殊边缘点定位图像中目标的算法,该算法可以检测图像中感兴趣的边缘信息。通过检测图像行序列中是否存在特定的灰度序列来判断特殊边缘点的存在并计算其所在位置。利用本文算法对焊缝图像中的焊缝和虹膜图像中虹膜区域进行了定位验证。实验表明,本文算法可以准确定位焊缝的边缘点。在虹膜区域定位时,得到感兴趣边缘点后使用Hough圆检测方法可以定位虹膜区域的轮廓,可用于UBIRIS.v2虹膜图像数据库中各种类型图像的虹膜区域定位。
A specific edge point detection algorithm for object localization is proposed. The algorithm can detect the edge information of interest and mark the edge points. The algorithm can get the location information of the target by analyzing the distribution of the edge points, and detect the specific gray scale pixel sequence and edge points of interest. For verification, the proposed algorithm is applied to detect the welding line and the unconstrained iris contour edge. Experimental results demonstrate that the proposed algorithm can accurately detect the edge points of the welding line. The algorithm is also applicable to locate the unconstrained iris contour. It obtains the edge points of the iris region first; then Hough Circle Transform is applied to vote a circle as the iris contour. The algorithm can locate the iris contours accurately for all kind of iris images in UBIRIS. v2 Database.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2016年第6期2103-2110,共8页
Journal of Jilin University:Engineering and Technology Edition
基金
国家重大科技成果转化项目(2012-258)
关键词
信息处理技术
边缘检测
序列检测
非约束虹膜
information processing
edge detection
sequence detection
unconstrained iris
