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浏览/检索结果: 共8条，第1-8条 帮助 限定条件 专题：沈阳自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Adaptive enhancement of sea surface targets in infrared high dynamic range image 会议论文 Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, Beijing, MAY 05-07, 2015 作者:  Dong S(董帅);  Qi L(亓琳) 收藏  |  浏览/下载：17/0  |  提交时间：2015/11/18 adaptive bilateral filter  saliency map  sea surface  high dynamic range  image enhancement   Infrared image enhancement based on human visual properties 会议论文 Conference on Applied Optics and Photonics(AOPC)- Image Processing and Analysis, Beijing, PEOPLES R CHINA, MAY 05-07, 2015 作者:  Chen HY(陈宏宇);  Hui B(惠斌) 收藏  |  浏览/下载：31/0  |  提交时间：2015/12/08 infrared image  image enhancement  bilateral filter  human visual properties   Mean-Shift Tracking Algorithm Based on Adaptive Fusion of Multi-feature 会议论文 Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, Beijing, MAY 05-07, 2015 作者:  Yang K(杨凯);  Xiao YH(肖阳辉);  Wang ED(王恩德);  Feng JH(冯俊惠) 收藏  |  浏览/下载：16/0  |  提交时间：2015/11/18 mean-shift  multi-feature fusion  affine illumination model  histogram of corner feature   Tone mapping infrared images using conditional filtering based multi-scale retinex 会议论文 Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, Beijing, MAY 05-07, 2015 作者:  Luo HB(罗海波);  Xu LY(许凌云);  Hui B(惠斌);  Chang Z(常铮) 收藏  |  浏览/下载：24/0  |  提交时间：2015/11/18 Tone mapping  High dynamic rage image  infrared imaging  Multi-scale retinex  Image enhancement  Conditional Gaussian Filter (CGF)  Conditional Filtering Based Multi-Scale Retinex(CFBMSR)   Performance evaluation of image enhancement methods for object detection and recognition 会议论文 Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, Beijing, MAY 05-07, 2015 作者:  Cai TF(蔡铁峰);  Zhu F(朱枫);  Hao YM(郝颖明);  Fan XP(范晓鹏) 收藏  |  浏览/下载：11/0  |  提交时间：2015/11/18 contrast enhancement  objects detection and recognition  performance evaluation   A shape context based Hausdorff similarity measure in image matching 会议论文 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Ma TL(马天磊);  Liu YP(刘云鹏);  Shi ZL(史泽林);  Yin J(尹健) 收藏  |  浏览/下载：24/0  |  提交时间：2013/12/26 The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.   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：21/0  |  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.   A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Fan XP(范晓鹏);  Cai TF(蔡铁峰);  Zhu F(朱枫) 收藏  |  浏览/下载：21/0  |  提交时间：2013/12/26 The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.