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2010 International Conference on Image Analysis and Signal Processing最新文献

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Evaluation for repeatability and reproducibility of information poor process 评估可重复性和可再现性信息差的过程
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476060
X. Xia, Qing Zhou, Jianmin Zhu
{"title":"Evaluation for repeatability and reproducibility of information poor process","authors":"X. Xia, Qing Zhou, Jianmin Zhu","doi":"10.1109/IASP.2010.5476060","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476060","url":null,"abstract":"Poor information means incomplete and insufficient information, such as small sample and unknown distribution. As for the evaluation of repeatability and reproducibility in an information poor process, statistical methods which relied on large sample sizes and known distributions may become ineffective. For this end, a method for analysis of the point variation, the interval variation, and the comprehensive variation is proposed to appraise the repeatability and reproducibility. The method indicates that the smaller the variation between the measured data, the better the repeatability and reproducibility. Case studies show that the proposed method allows the number of the data to be very little and the probability distribution to be unknown.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122763825","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: 0
Moving object detection based on kirsch operator combined with Optical Flow 基于kirsch算子结合光流的运动目标检测
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476045
P. Gao, Xiang-yu Sun, Wei Wang
{"title":"Moving object detection based on kirsch operator combined with Optical Flow","authors":"P. Gao, Xiang-yu Sun, Wei Wang","doi":"10.1109/IASP.2010.5476045","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476045","url":null,"abstract":"The detection of moving object is important in many tasks, such as video surveillance and moving object tracking. Although there are some methods for the moving object detection, it is still a challenging area. In this paper, a new method which combines the Kirsch operator with the Optical Flow method (KOF) is proposed. On the one hand, the Kirsch operator is used to compute the contour of the objects in the video. On the other hand, the Optical Flow method is adopted to establish the motion vector field for the video sequence. Then the Otsu method is implemented after the Optical Flow method in order to distinguish the moving object and the background clearly. Finally the contour information fuses the information of motion vector field to label the moving objects in the video sequences. The experiment results prove that the proposed method is effective for the moving objects detection.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124866862","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: 29
The imaging analysis of asynchronous bistatic SAR with parallel tracks 并行航迹异步双基地SAR成像分析
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476170
Peng Suiyang, Zhang Jun, Ou Qiong, Lu Dawei, S. Zhenkang
{"title":"The imaging analysis of asynchronous bistatic SAR with parallel tracks","authors":"Peng Suiyang, Zhang Jun, Ou Qiong, Lu Dawei, S. Zhenkang","doi":"10.1109/IASP.2010.5476170","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476170","url":null,"abstract":"The imaging of bistatic SAR with asynchronous transceiver positions is studied in this paper. First of all, the geometry of the asynchronous transceiver model is constructed, and the approximation model of the echo from the bistatic SAR is obtained based on the analysis of the instantaneous transceiver distance. Asynchronous transceiver positions will lead to non-uniform SAR data. This paper first analyzes the method for transforming the asynchronous bistatic model into a monostatic variable motion model. Then with the non-uniform FFT, it resolves the non-uniform sampling problems induced by nonconstant velocities. The simulation experiments show that the bistatic SAR images have good quality, which verifies the validity of the method presented in this paper.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126212183","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: 0
Prediction of shear stress distribution throughout 3D bone scaffold in perfusion environment 灌注环境下三维骨支架剪切应力分布的预测
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476165
Y. Yao, Yongwei Yu, Jun Guo, Yi Qian, Jiawei Wang
{"title":"Prediction of shear stress distribution throughout 3D bone scaffold in perfusion environment","authors":"Y. Yao, Yongwei Yu, Jun Guo, Yi Qian, Jiawei Wang","doi":"10.1109/IASP.2010.5476165","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476165","url":null,"abstract":"In tissue engineering, mechanical stimuli play an important role in the cell proliferation process. This paper developed a 3D model to analyze the shear stress distribution in porous scaffold dynamically. A series of 3D scaffolds with different porosity level (60%∼80%) were constructed to generate a large amount of shear stress distributions in the CFD tool. The simulations revealed that average shear stress is linear with velocity and the porosity has a strong influence of average shear stress. A linear prediction model is built on the analyzing data, which can demonstrate relationships between shear stress distribution on the inter surface of the 3D scaffold and the perfusion conditions.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114679555","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: 2
Fast location of corn images based on position features 基于位置特征的玉米图像快速定位
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476114
Lijun Chen, Wen-tao Ren, Yongkui Li
{"title":"Fast location of corn images based on position features","authors":"Lijun Chen, Wen-tao Ren, Yongkui Li","doi":"10.1109/IASP.2010.5476114","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476114","url":null,"abstract":"Fast and accurate positioning of corn image is a premise to variable spray. In this paper, a method of locating the centre of strains based on over-segmentation positioning block projection was raised against the growth characteristics and overlapping leaves of hole-sowing plant. Hole-sowing corn was studied as the research objective. Tests showed that the locating error was within 30mm, and the locating time was 16ms, which met the precision and real-time requirements of spray. This method was applicable to location for all stages of seedling crops.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114163201","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: 0
A review of segmentation method for MR image 磁共振图像分割方法综述
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476099
Li Yi, Gao Zhijun
{"title":"A review of segmentation method for MR image","authors":"Li Yi, Gao Zhijun","doi":"10.1109/IASP.2010.5476099","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476099","url":null,"abstract":"Magnetic resonance (MR) is a typical medical imaging technique. It can provide high resolution 3D image with anatomical and function information through analyzing MRI sequence, which facilitates and improves diagnosis and patient treatment. The first important step in image analysis is image segmentation. In this paper, numerous methods that have been developed for segmentation in MRI are reviewed. We study these segmentation strategies and perform a qualitative discussion according to 3 categories, i.e. traditional image processing method, statistical-based segmentation method and partition technique with bias field estimation.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128961082","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: 18
A 4D nth-order Walsh orthogonal transform algorithm used for color image coding 一种用于彩色图像编码的4D n阶Walsh正交变换算法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476131
A. Sang, T. Sun, Hexin Chen, Hua Feng
{"title":"A 4D nth-order Walsh orthogonal transform algorithm used for color image coding","authors":"A. Sang, T. Sun, Hexin Chen, Hua Feng","doi":"10.1109/IASP.2010.5476131","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476131","url":null,"abstract":"Based on the multi-dimensional matrix theory, this paper introduced four-dimensional (4D) model, and deduce the Walsh orthogonal transform in 4D nth-order matrix space. This method is used for color image coding. We obtained very good results. 4D nth-order matrix model can express 4D data in a unified mathematical model for processing. On one hand, it considers the high efficiency of classical matrix transform in the aspect of removing redundancy of color space. On the other hand, it overcomes the restriction of traditional two-dimensional matrix multiplication. Favorable image compression effect can be obtained by 4D Walsh orthogonal transform and traditional discrete cosine transform.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"37 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516663","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: 1
Patchy aurora image segmentation based on block threshold LBP 基于块阈值LBP的斑点极光图像分割
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476093
Rong Fu, Yongjun Jian
{"title":"Patchy aurora image segmentation based on block threshold LBP","authors":"Rong Fu, Yongjun Jian","doi":"10.1109/IASP.2010.5476093","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476093","url":null,"abstract":"The proportion of the aurora to sky is an important property for geosciences research. Before calculation, a crucial step is to segment the region of aurora light from the background. An automatic aurora image segmentation algorithm, based on block threshold local binary patterns (BTLBP), is proposed. In the training stage, LBP operator is applied to an all-sky image without aurora light, pixel by pixel, to get the reference feature vector of whole sky image. This image is then divided into the same size blocks and LBP operator is applied to each of them. In comparison with the reference feature vector, a threshold is found. In the segmentation stage, an image containing aurora is divided into blocks, whose features are compared with the threshold, aurora block is then detected. Simple as it is, online implementation on huge dataset is possible. The experiment showed that the proposed method is satisfying visually.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132313132","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: 0
Contact-free measurement of heartbeat signal via a doppler radar using adaptive filtering 使用自适应滤波的多普勒雷达对心跳信号的无接触测量
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476157
G. Lu, Fang Yang, X. Jing, Jianqi Wang
{"title":"Contact-free measurement of heartbeat signal via a doppler radar using adaptive filtering","authors":"G. Lu, Fang Yang, X. Jing, Jianqi Wang","doi":"10.1109/IASP.2010.5476157","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476157","url":null,"abstract":"It has been proven that the cardiopulmonary signs, including respiration and heartbeat signal, can be contact-free measured via a Doppler radar. However, the heartbeat signal cannot be identified when the human subject does not hold his or her breath. To resolve the problem, the adaptive noise canceller (ANC) based on recursive-least square (RLS) algorithm is presented to simultaneously measure the heartbeat and the respiration signal. Experimental results showed that not only can the heartbeat signal be well identified, but the heart rate also strongly correlated with that derived from the electrocardiogram (ECG).","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134544827","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: 28
A pedestrian classification method based on transfer learning 一种基于迁移学习的行人分类方法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476085
Yao Xie, Songzhi Su, Shao-Zi Li
{"title":"A pedestrian classification method based on transfer learning","authors":"Yao Xie, Songzhi Su, Shao-Zi Li","doi":"10.1109/IASP.2010.5476085","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476085","url":null,"abstract":"Pedestrian detection is a challenging research task of computer vision, which can be seen as a classification problem in the sliding window framework. Many supervised learning based methods require a large number of labeled data for training. However, training and testing data are not independent identically distributed in most cases, due to the complex background, and it is expensive to re-collect and label the data. This paper proposes a semi-supervised method for pedestrian classification, which is based on transfer learning and sparse coding and just requires a small quantity of labeled data. Firstly, we use sparse coding to learn a slightly higher-level, more succinct feature representation from the unlabeled data that randomly downloaded from the Internet. Then we apply this representation to the target classification problem by transfer learning. The quantitative experiment results demonstrate that this method can improve the performance of pedestrian classification and just needs only a few labeled data.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129507752","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: 5
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