2009 2nd International Congress on Image and Signal Processing最新文献_第6页

An Adaptive Threshold Algorithm Combining Shifting Window Difference and Forward-Backward Difference in Real-Time R-Wave Detection 实时r波检测中结合移窗差和前后向差的自适应阈值算法

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5304666

Lihuang She, Guohua Wang, Shi Zhang, Jinshuan Zhao

引用次数: 12

Wavelet Denoising and Its Implementation in LabVIEW 小波去噪及其在LabVIEW中的实现

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5301284

Bingsheng Wu, C. Cai

引用次数: 10

A Fast and Accurate Algorithm for Chessboard Corner Detection 一种快速准确的棋盘角点检测算法

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5304332

Weixing Zhu, Changhua Ma, Libing Xia, Xin-cheng Li

引用次数: 29

Obstacle Recognition and Localization Based on the Monocular Vision for Double Split Transmission Lines Inspection Robot 基于单目视觉的双分路输电线路巡检机器人障碍物识别与定位

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5303695

Caishi Hu, Gongping Wu, Heng Cao, Xiaohui Xiao

引用次数: 8

Application and Research of Data Acquisition Technology Based on GPRS 基于GPRS的数据采集技术的应用与研究

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5300834

W. Fan, Xiang Li, Peng Chen

引用次数: 4

A Road Segmentation and Road Type Identification Approach Based on New-Type Histogram Calculation 一种基于新型直方图计算的道路分割与道路类型识别方法

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5300878

Li Zhang, E. Wu

{"title":"A Road Segmentation and Road Type Identification Approach Based on New-Type Histogram Calculation","authors":"Li Zhang, E. Wu","doi":"10.1109/CISP.2009.5300878","DOIUrl":"https://doi.org/10.1109/CISP.2009.5300878","url":null,"abstract":"By analyzing the characteristics of off-road images, a new and computationally efficient algorithm of road segmentation and road type identification for Autonomous Land Vehicle (ALV) navigation system based on the proposed new-type histogram calculation was established. The new-type histogram is a new image, not a curve. It is also directional. It makes a statistic of the pixels under some special direction. With the histogram images, each pixel in the original image is given a threshold separately, thus the road images are correctly segmented. Moreover, the new-type histogram image could be used to identify road type. It avoids the deficiency that road images are wrongly segmented by reason that the preset road model does not fit in the real scene in the conventional methods. The proposed method does not need any extraction of the relevant information in the image (texture of the road, shadows, road edges, etc.). The method is evaluated on thousands of the cross-country road images under various lighting conditions. The experimental results demonstrate the method's accuracy, feasibility and robustness. It increases the segmentation accuracy to an extent. This would be a potentially significant contribution to the active area of road segmentation in the ALV navigation system.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124024622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Adaptive Modulation and Power Control for Energy Efficient Video Transmission over Fading Channels 衰落信道中节能视频传输的自适应调制和功率控制

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5300983

Dengyu Qiao, Ye Li, Yuwei Zhang

引用次数: 4

Camera Calibration Based on Particle Swarm Optimization 基于粒子群优化的摄像机标定

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5302889

Xiaona Song, Bo Yang, Zhiquan Feng, Ting-xin Xu, Deliang Zhu, Yan Jiang

引用次数: 16

A Linear Self-Calibration Method Based on Active Vision System 一种基于主动视觉系统的线性自标定方法

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5303045

Jiulong Xiong, Qi Zhang, Junying Xia, Shan Peng, F. Luo

{"title":"A Linear Self-Calibration Method Based on Active Vision System","authors":"Jiulong Xiong, Qi Zhang, Junying Xia, Shan Peng, F. Luo","doi":"10.1109/CISP.2009.5303045","DOIUrl":"https://doi.org/10.1109/CISP.2009.5303045","url":null,"abstract":"This paper presented an improved self-calibrate method based on active vision system. The camera was controlled to move directly in a plane and rotated around the X-axis in the camera coordinates in five times or more, then we calibrated the camera by the epipoles in the images. This method improved the accuracy and robust of the epipoles, compared with other method. The theory based on Kruppa equation of self-calibration of a moving camera was put forward by Maybank and Faugeras(1). Then, a lot of self-calibration methods were put forward. All these methods need to solve non-linear equations which are hard to work out. Ma gave a linear self-calibration method based on active vision system(2). The camera moved twice in the two plumb planes, and then the FOE (Focus of Expansion) was used to create linear equations and solve the internal camera parameters. The method carried out self- calibration by assuming that the skew factors are equal to zero. Those methods mentioned above don't work in the 5 factors model, and this paper introduced a method which can solve the internal camera parameters in 5 factors model without the plane information of the 3D space.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114221648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A New Lane Detection Method Based on Feature Pattern 基于特征模式的车道检测新方法

2009 2nd International Congress on Image and Signal Processing Pub Date : 2009-10-30 DOI: 10.1109/CISP.2009.5304294

Xue-chao Shi, Bin Kong, Fei Zheng

引用次数: 16