公开(公告)号：US09401008B2

公开(公告)日：2016-07-26

申请号：US14598512

申请日：2015-01-16

Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA

Inventor： Yunping Chen ,  Ling Tong ,  Yan Chen ,  Bo Gao ,  Yu Tian ,  Yuxia Li ,  Weihong Han ,  Yang Li

IPC: G06K9/46 ,  G06T5/00 ,  G06T7/00

CPC classification number: G06T5/00 ,  G06K9/4647 ,  G06T7/13 ,  G06T7/73 ,  G06T2207/20192

Abstract: A method for identifying and extracting a linear object from an image is disclosed. The method comprises: acquiring an original image to be processed, wherein the original image is taken by a camera, received through network transmission or copied from a compact disc or a removable disk; preprocessing the original image to obtain an enhanced image; extracting an edge information image from the enhanced image; then extracting linear features by performing, on the edge information image, a linear feature extracting transform improved with a cluster operator; finally; identifying and extracting the linear object by distinguishing the linear object from other linear features by considering characteristics of the linear object to be identified and extracted. According to the invention, a linear feature extracting transform improved with a cluster operator is constructed from a distribution of edge pixels in the edge information image along a 2-dimensional direction, which makes it possible to extract, rapidly and accurately, weak linear objects such as power lines from images having complicated background and sub-pixels.

Abstract translation: 公开了一种从图像中识别和提取线性对象的方法。 该方法包括：获取要处理的原始图像，其中原始图像由相机拍摄，通过网络传输接收或从光盘或可移动盘复制; 预处理原始图像以获得增强图像; 从增强图像提取边缘信息图像; 然后通过在边缘信息图像上执行利用集群算子改进的线性特征提取变换来提取线性特征; 最后; 通过考虑待识别和提取的线性对象的特征，通过区分线性对象与其他线性特征来识别和提取线性对象。 根据本发明，通过沿着二维方向的边缘信息图像中的边缘像素的分布来构建利用集群算子改进的线性特征提取变换，这使得可以快速和准确地提取弱线性对象 作为具有复杂背景和子像素的图像的电力线。