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CORC

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基于几何基元的红外成像自动目标识别方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2018
作者:  焦安波;  杨国永
收藏  |  浏览/下载：42/0  |  提交时间：2018/06/16
基于数据驱动的球磨机故障诊断方法 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2017
作者:  曲星宇
收藏  |  浏览/下载：137/0  |  提交时间：2017/12/21
海面背景红外图像灰度映射及增强算法研究 学位论文
硕士: 中国科学院沈阳自动化研究所, 2016
作者:  董帅
收藏  |  浏览/下载：63/0  |  提交时间：2016/12/25
瞬时相关积分在几何梳状谱检测中的应用 期刊论文
舰船科学技术, 2016, 卷号: 38, 期号: 2, 页码: 107-110
作者:  卢治强;  廖述常;  张瑶
收藏  |  浏览/下载：16/0  |  提交时间：2016/03/13
Binocular Stereo Vision Based Obstacle Detection Method for Manipulator 会议论文
International Conference on Electrical Engineering and Automation (ICEEA), Xiamen, China, December 18-19, 2016
作者:  Liu, Qiang;  Zhang XX(张晓雪);  Liu JG(刘金国);  Zhang T(张天);  Ni ZY(倪智宇)
收藏  |  浏览/下载：20/0  |  提交时间：2017/09/12
一种消除测速模糊的梳状谱信号设计方法 期刊论文
应用声学, 2015, 卷号: 34, 期号: 2, 页码: 158-162
作者:  陆扬;  杨家庚;  薛飞;  张瑶
收藏  |  浏览/下载：19/0  |  提交时间：2015/07/05
基于直线映射的红外与可见光图像自动配准算法 期刊论文
信息与控制, 2014, 卷号: 43, 期号: 2, 页码: 199-204
作者:  张程硕;  史泽林;  徐德江
收藏  |  浏览/下载：29/0  |  提交时间：2014/11/03
多相主动轮廓模型的眼底图像杯盘分割 期刊论文
中国图象图形学报, 2014, 卷号: 19, 期号: 11, 页码: 1604-1612
作者:  范慧杰;  唐延东
收藏  |  浏览/下载：45/0  |  提交时间：2014/12/29
Multipath time-delay estimate based on homomorphic filtering in logarithm domain 会议论文
OCEANS 2014 MTS/IEEE Taipe, Taipei, Taiwan, April 7-10, 2014
作者:  Zhang Y(张瑶);  Ji DX(冀大雄);  Wu JG(武建国);  Gao L(高雷)
收藏  |  浏览/下载：21/0  |  提交时间：2014/12/29
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.  

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