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Instance Aware Document Image Segmentation using Label Pyramid Networks and Deep Watershed Transformation 会议论文
澳大利亚悉尼国际会议中心(ICC), 2019-9
作者:  Li, Xiao-Hui;  Yin, Fei;  Xue, Tao;  Liu, Long;  Ogier, Jean-Marc
收藏  |  浏览/下载：4/0  |  提交时间：2021/06/02
Grain Truck Loading Status Detection Based on Machine Vision 会议论文
Xiamen, China, July 5-7, 2019
作者:  Liu D(刘丹);  Wang Z(王卓);  Bai XP(白晓平);  Zhao YJ(赵泳嘉)
收藏  |  浏览/下载：1/0  |  提交时间：2020/05/24
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks, 会议论文
Stockholm, Sweden,, 13-19
作者:  Yue Xu;  Fei Yin;  Zhaoxiang Zhang;  Chenglin Liu
收藏  |  浏览/下载：66/0  |  提交时间：2018/10/12
A Robust Vanishing Point Detection Method for UAV Autonomous Power Line Inspection 会议论文
中国澳门, 2017年12月4日
作者:  Bian, Jiang;  Hui, Xiaolong;  Zhao, Xiaoguang;  Tan, Min
收藏  |  浏览/下载：2/0  |  提交时间：2020/06/07
知觉学习强化V1神经元的显著性地图 会议论文
2016年第一届北京视觉科学会议, 北京, 2016-07
作者:  Yin Yan;  Li Zhaoping;  Wu Li
收藏  |  浏览/下载：94/0  |  提交时间：2017/01/04
Detection and fault diagnosis of power transmission line in infrared image 会议论文
2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, China, June 8-12, 2015
作者:  He SY(何思远);  Yang DW(杨大为);  Li WT(李文涛);  Xia Y(夏泳);  Tang YD(唐延东)
收藏  |  浏览/下载：20/0  |  提交时间：2015/12/20
A line mapping based automatic registration algorithm of infrared and visible images 会议论文
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:  Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕)
收藏  |  浏览/下载：22/0  |  提交时间：2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.  
High voltage transmission line detection for uav based routing inspection 会议论文
2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, AIM 2013, Wollongong, NSW, Australia, July 9-12, 2013
作者:  Cao YR(曹蔚然);  Zhu LL(朱琳琳);  Han JD(韩建达);  Wang TR(王天然);  Du YK(杜英魁)
收藏  |  浏览/下载：39/0  |  提交时间：2013/12/26
An effective lane detection algorithm for structured road in urban 会议论文
Nanjing, China, October 15, 2012 - October 17, 2012
作者:  Liu, Weirong;  Li, Shutao
收藏  |  浏览/下载：5/0  |  提交时间：2020/11/15
Robust Line Segment Detection Based on Non-isotropy in Low-SNR Image 会议论文
2012 IET International Conference on Information Science and Control Engineering (ICISCE 2012), Shenzhen, China., December 7-9, 2012
作者:  Ai R(艾锐);  Shi ZL(史泽林)
收藏  |  浏览/下载：17/0  |  提交时间：2012/12/28

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