2015 8th International Congress on Image and Signal Processing (CISP)最新文献

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The design and implementation of interactive game based on PTAM 基于PTAM的交互式游戏的设计与实现
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407848
Fengquan Zhang, Jiaojiao Guo, Bing Wang, Jing Jiang
{"title":"The design and implementation of interactive game based on PTAM","authors":"Fengquan Zhang, Jiaojiao Guo, Bing Wang, Jing Jiang","doi":"10.1109/CISP.2015.7407848","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407848","url":null,"abstract":"PTAM (Parallel Tracking and Mapping) is the popular camera tracking technology. In this paper, we design and implement an interaction game of Egg Catcher based on PTAM. To deal with the problems occurred when camera is in fast-moving or scene lighting changes, we introduce a described method of feature point. The method will firstly do some pre-treatment of rotating to the images according to the main direction of the feature point, and adopt the adaptive threshold method to improve the test definition of the feature points. And the robustness of it can be greatly improved even under the circumstance when camera is in fast moving or scene lighting changes. At last, we implement a real-time interactive games based on the improved PTAM technology.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129504517","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
An inverse projective mapping-based approach for robust rail track extraction 一种基于逆投影映射的鲁棒轨道提取方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408003
Zhong-li Wang, X. Wu, Y. Yan, Chunxiao Jia, B. Cai, Zhenhui Huang, Guiguo Wang, Tianbai Zhang
{"title":"An inverse projective mapping-based approach for robust rail track extraction","authors":"Zhong-li Wang, X. Wu, Y. Yan, Chunxiao Jia, B. Cai, Zhenhui Huang, Guiguo Wang, Tianbai Zhang","doi":"10.1109/CISP.2015.7408003","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408003","url":null,"abstract":"Rail track extraction from the image can be used to determine the train localization, or vision-based inspection of the rail, and some other driver supporting systems in railway. For the vision-based inspection, it is one of the most important tasks. But visual approach suffers from some common difficulties, the illumination change, shadow, weather effects, etc, which make the image processing for the successive procedures a very tough work, even in a sample application. In this paper, with a calibrated camera and based on inverse projective mapping (IPM), we can get a bird-view image or IPM image first. Then the IPM image is converted to an edge map with modified binary method. In order to extract the rail track, a Hough transformation is used detect the line segments in the edge map. Combined with some geometric constraints from the prior knowledge, the rail track can be robustly extracted. Some experiments with on-site image show the proposed method can works well.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130873903","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: 11
A correction algorithm of migration through Doppler resolution cell for bistatic inverse synthetic aperture radar 双基地逆合成孔径雷达多普勒分辨单元偏移校正算法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408124
Yi Wang, Defeng Chen, Zhengpin Liu
{"title":"A correction algorithm of migration through Doppler resolution cell for bistatic inverse synthetic aperture radar","authors":"Yi Wang, Defeng Chen, Zhengpin Liu","doi":"10.1109/CISP.2015.7408124","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408124","url":null,"abstract":"When the size of a target or the rotation angle is large, migration through resolution cell may occur in the bistatic inverse synthetic aperture radar (Bi-ISAR) which will affect the imaging quality. A correction algorithm based on the minimum criterion of image entropy is proposed in this paper. The rotating center is estimated according to this criterion. Then the phase compensation term is constructed and the correction of migration through Doppler resolution cell is finished. Finally, simulations are carried out which compare the quality of images based on the maximum criterion of image contrast and the minimum criterion of image entropy. The results show that the proposed method can correct the migration through Doppler resolution cell and improve the imaging quality.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131115144","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 Homocentric Squares Filter for pulmonary nodule enhancement based on the CT images 基于CT图像的肺结节增强同心圆方形滤波器
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407914
Wen-Jing Zhang, Xiao Hu, Chen-Hui Liu, Shao-Hu Peng, Jin-Ming Zhao, Cai-Rong Zou
{"title":"A Homocentric Squares Filter for pulmonary nodule enhancement based on the CT images","authors":"Wen-Jing Zhang, Xiao Hu, Chen-Hui Liu, Shao-Hu Peng, Jin-Ming Zhao, Cai-Rong Zou","doi":"10.1109/CISP.2015.7407914","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407914","url":null,"abstract":"Automatic pulmonary nodule detection in Computer Tomographic (CT) images is a challenge task for the Computer Aided Diagnosis (CAD) systems. This paper proposes a novel nodule enhancement filter (Homocentric Squares Filter) for automatic nodule detection based on CT characteristic and shape feature. First, the bright regions in the image are enhanced by calculating the CT value variation between an inner square and an outer hollow square. Then, a line-restrained function is constructed to eliminate line-like region response of the filter. Simultaneously, a uniformity function is defined to exclude the marginal region and the corner region response of the filter. Finally, the output of the proposed filter is a combination of the CT value variation function, line-restrained function and uniformity function, which can enhance those nodule-like regions and avoid the response of line-like, marginal and corner regions. Moreover, the integral image technique is applied to speed up the processing of the filter. Experimental results showed that the proposed filter outperformed the selective filter according to the nodule enhancement effect and the processing speed.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131298303","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
Two dimensional direction of arrival estimation for co-prime L-shaped array using sparse reconstruction 基于稀疏重建的共素数l形阵列二维到达方向估计
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408121
Qinghua Liu, Xiaodong Yi, Liangnian Jin, Wei Chen
{"title":"Two dimensional direction of arrival estimation for co-prime L-shaped array using sparse reconstruction","authors":"Qinghua Liu, Xiaodong Yi, Liangnian Jin, Wei Chen","doi":"10.1109/CISP.2015.7408121","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408121","url":null,"abstract":"The maximum estimable number of sources of the traditional algorithms of Two Dimensional Direction-of-Arrival (2D-DOA) estimation have large amount of calculations, and the maximum estimable number of sources is strictly limited by the number of array elements. In this paper, with the co-prime L-shaped array, a sparse reconstruction method using the Khatri-Rao (KR) product is proposed. The 2D-DOA estimation is transformed into two 1D-DOA processes, and the parameters are automatically paired. The simulation results show that the proposed method can accurately handle more sources than physical sensors to improve the spatial resolution under small number of snapshots.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121865140","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: 16
Jamming monitoring and anti-jamming by polarization diversity reception in the satellite navigation system 卫星导航系统中极化分集接收的干扰监测与抗干扰
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408083
Li Sun, Bigang Jing, Yue Cheng, Liang Yuan
{"title":"Jamming monitoring and anti-jamming by polarization diversity reception in the satellite navigation system","authors":"Li Sun, Bigang Jing, Yue Cheng, Liang Yuan","doi":"10.1109/CISP.2015.7408083","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408083","url":null,"abstract":"The satellite navigation system adopts the spread spectrum technology, and the navigation signal is 20 dB lower than the mechanical thermal noise at the receiver. The wireless communication signal and the TV broadcast signal in the electromagnetic environment can be taken as the jamming to the satellite navigation system. The circular array with vertical polarization elements and horizontal polarization elements is designed in the paper. Based on the direction of the jamming estimated, the polarization diversity reception is performed by the beamforming with the array element selection. The polarization diversity reception which is the same polarization compared to the jamming can perform the jamming monitoring and the analysis. The polarization diversity reception which is orthogonally polarized compared to the jamming can realized the anti-jamming, ensuring the use of the satellite navigation.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116009762","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: 3
Indoor and outdoor image classification with bilateral filter 利用双边滤波器对室内和室外图像进行分类
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407953
Yafeng Li, Ying-wei Lin
{"title":"Indoor and outdoor image classification with bilateral filter","authors":"Yafeng Li, Ying-wei Lin","doi":"10.1109/CISP.2015.7407953","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407953","url":null,"abstract":"With the exponential increase in the number of photos, the operations such as organization, browsing and searching etc. are getting more and more difficult. Image category based on the content is significantly helpful to these tasks. In various kinds of image classification, the classification of indoor and outdoor images is fundamental. In this paper, we propose a method for indoor/outdoor image classification that can achieve better accuracy without slowing down the computation speed. It is based the view that the main differences between indoor and outdoor images are the light sources and material of objects. The operation of data set training and image classification are done with the information of light sources and objects' material which can be approximately obtained with a revised bilateral filter. Experimental results show that the proposed scheme is capable of classifying indoor/outdoor images with better accuracy at a reasonable speed.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"115 43","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120826855","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
Temporal and Spatial Analysis of Water Extent in Poyang Lake using HJ-1 data 基于HJ-1数据的鄱阳湖水量时空分析
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408027
He Haixia, Tang Tong
{"title":"Temporal and Spatial Analysis of Water Extent in Poyang Lake using HJ-1 data","authors":"He Haixia, Tang Tong","doi":"10.1109/CISP.2015.7408027","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408027","url":null,"abstract":"Temporal and Spatial Analysis of Water Extent in Poyang Lake is significant to reveal ecological environment evolution and drought formation mechanism and the influence in the Poyang lake basin. Water extent is the key index to characterize the scale and intensity of drought disaster. The seasonal water change of Poyang Lake is obvious. There is high landscape heterogeneity because the terrain features distribution is highly complex and discontinuous in the dry season. At the same time spectral characteristics of water and its surroundings are complicated in that the microscopic formation mechanism of water is complicated. It is difficult to perform water information extraction. The commonly used water information extraction methods such as classification method, image segmentation method, threshold method, region growing method can't meet the requirements on the efficiency and accuracy. In this paper, Water information extraction and validation of 2011 was performed using HJ-1 CCD data based on decision tree method. Then temporal and spatial analysis of water extent was performed. At last, the relationship between the water extent and disaster loss information was analyzed. The results indicated that the decision tree method significantly improved the efficiency and accuracy compared to the traditional classification method and visual interpretation. It spent 2 hour in extracting water of dry season which need 2 days using visual interpretation method. The accuracy of the method was 94.5 percent of the accuracy using visual interpretation. It can meet the requirement of disaster reduction and solve the problem in dynamic extracting water extent of high landscape heterogeneity. There is high correlation between the temporal and spatial change of the water extent and the drought event.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121382524","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
Number plate recognition in noisy image 噪声图像中的车牌识别
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407927
Y. Nguwi, W. J. Lim
{"title":"Number plate recognition in noisy image","authors":"Y. Nguwi, W. J. Lim","doi":"10.1109/CISP.2015.7407927","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407927","url":null,"abstract":"Number plate recognition has been used widely for access control, congestion control, vehicle management, security control and vehicle behavior monitoring system. This study discusses the importance of number plate recognition and its corresponding application in different countries. Various methods for recognizing number plates are reviewed. Most of the systems are able to deliver good recognition rate of above 90%. However, there is a lack of literature reporting number plate recognition in images with noisy background. We propose and report a system that is able to tolerate noise level up to 20% with recognition rate of 85%. The system utilized a combination of filters and morphological transformation for segmenting the number plate. It then uses resilient back-propagation neural networks for recognition.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122343696","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: 12
Measurement of high frequency AC signals based on the true root mean square value 基于真均方根值的高频交流信号测量
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408135
Ming Zhang, Nuo Li
{"title":"Measurement of high frequency AC signals based on the true root mean square value","authors":"Ming Zhang, Nuo Li","doi":"10.1109/CISP.2015.7408135","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408135","url":null,"abstract":"The root mean square (RMS) of high frequency AC signals is the key characteristic for data acquisition, but its value is hard to be measured directly by common data acquisition system. In this paper, we gave a brief introduction about the measurement for RMS value of high frequency AC signal. The sampling computation method is an intuitive way but it needs high hardware requirements. The precision rectification method is easy to realize by operational amplifiers but it can only be used in several special waveforms and isn't a true RMS value method. The thermal conversion method is a true RMS value method and good at wide bandwidth but its accuracy is low. The true RMS value method based on logarithmic computing has high accuracy but its bandwidth is too narrow. In this paper, we adopted the true RMS value method based on logarithmic computing in engine manipulation ground experiment. With this principle, we designed a kind of signal conditioning module which can change the high frequency AC signals into DC values and be acquired by data acquisition cards. In the end, we checked the accuracy with serial experiments such as the RMS accuracy test and frequency response test. We proved that the accuracy of the signal conditioning module is better than 1% when the highest frequency of input signal is less than 500k Hz.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116528952","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
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