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

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An augmented reality method with image composition and image special effects 一种结合图像合成和图像特效的增强现实方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407999
Qike Zhao, Yankui Sun, Zhongyang Sun
{"title":"An augmented reality method with image composition and image special effects","authors":"Qike Zhao, Yankui Sun, Zhongyang Sun","doi":"10.1109/CISP.2015.7407999","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407999","url":null,"abstract":"Augmented reality for natural images on mobile devices is currently a research focus. Traditional methods augment natural images mainly by projecting virtual models, putting texts, audio and videos on the images. In this paper, we introduce image composition and image special effects into applications of augmented reality, and proposed an augmented reality method with image composition and image special effects. In this method, 3d-tracking of a camera is obtained first, then a template image is augmented by applying image composition, image special effects and 3d virtual model projection independently or jointly. Our method is implemented and validated by experiments. It extends and enriches the forms and applications of augmented reality.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"68 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":"126361577","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
A new interaction method for augmented reality based on ARToolKit 基于ARToolKit的增强现实交互新方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407945
Huibai Wang, Junli Qin, Fengquan Zhang
{"title":"A new interaction method for augmented reality based on ARToolKit","authors":"Huibai Wang, Junli Qin, Fengquan Zhang","doi":"10.1109/CISP.2015.7407945","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407945","url":null,"abstract":"In this paper, we implement a new interaction method for the application of augmented reality using ARToolKit and OpenCV SDK. First, on the basis of the exiting marker-based tracking system, this paper achieved the multi-marker tracking that solved the tracking failure problem when the single marker is partially occluded, which greatly improves the robustness of the registration algorithm. In addition, Codebook-based foreground detection model is used to detect the hand region under an unexpected background environment. Moreover, we could recognize the hand gesture by convex hull on the basis of the hand contour. Therefore, a gesture recognition algorithm is presented based on codebook model algorithm and convex hull algorithm for the interaction. In the end, we use several different experiments to show the performance, which can be seen the good interactivity and realistic.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"5 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":"126566269","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: 6
Mapping of circular or elliptical vegetation community patches: A comparative use of SPOT-5, ALOS And ZY-3 imagery 圆形或椭圆形植被群落斑块的制图:SPOT-5、ALOS和ZY-3影像的比较使用
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407982
Yunjie Zhang, Qingsheng Liu, Gaohuan Liu, Shengjun Tang
{"title":"Mapping of circular or elliptical vegetation community patches: A comparative use of SPOT-5, ALOS And ZY-3 imagery","authors":"Yunjie Zhang, Qingsheng Liu, Gaohuan Liu, Shengjun Tang","doi":"10.1109/CISP.2015.7407982","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407982","url":null,"abstract":"Vegetation patches are one of the important components of arid and semi-arid ecosystems. Monitoring and mapping vegetation patches are essential for studying its succession mechanism. This study is aimed at comparing the differences between SPOT-5, ALOS and ZY-3 imagery and then showing the potential of them in recognizing vegetation patches. In this study, we deal with the three kinds of images with the method of object-oriented classification so as to extract circular or elliptical vegetation community patches of the two study areas. The results show that SPOT-5 imagery is of the highest segmentation accuracy, followed by ZY-3, and then ALOS. Then detailed analysis is carried out from four perspectives, which are statistical results of bands, NDVI distribution, image information entropy and sharpness and the conclusion is that the segmentation accuracy of each image is related to its NDVI distribution and articulation. Besides, ZY-3 imagery has the most balanced wave energy, the highest grey level and the richest information of the three. With good display effect and low price, ZY-3 imagery will be of great application potential in the field of remote sensing of vegetation.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"32 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":"128120005","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: 10
Improved fuzzy c-means clustering algorithm for automatic detection of lung nodules 改进的模糊c均值聚类算法用于肺结节的自动检测
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407925
Fan Liao, Chunxia Zhao
{"title":"Improved fuzzy c-means clustering algorithm for automatic detection of lung nodules","authors":"Fan Liao, Chunxia Zhao","doi":"10.1109/CISP.2015.7407925","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407925","url":null,"abstract":"The image features of pulmonary nodules in the CT image are inconspicuous, the shape and location is different. Computer-aided detection system can increase the detection rate of lung nodules and reduce the error rate, which can assist the clinicians to distinguish between benign and malignant nodules. This paper presents an improved fuzzy c-means (FCM) method based on the human visual attention model. The simulation result shows the effects of the new method used in computer-aided diagnosis.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"110 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":"125730341","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
Directionality-based modified coefficient scanning for image coding 基于方向性的修正系数扫描图像编码
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407874
X. Lin, Long Ye, Wei Zhong, Qin Zhang
{"title":"Directionality-based modified coefficient scanning for image coding","authors":"X. Lin, Long Ye, Wei Zhong, Qin Zhang","doi":"10.1109/CISP.2015.7407874","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407874","url":null,"abstract":"Coefficient scanning is one of the most significant parts in block-based image and video compression coding standards. Zigzag scanning is applied to convert the 2-D alternating current (AC) coefficients into a 1-D data stream in an energy decreasing way, but it cannot reflect the particularity for every image blocks. In this paper, we design six scanning templates (including zigzag scanning template), which are depending on the directional texture information of image, so we call it directionality-based modified coefficient scanning method. In the experiment, five categories of images with different directional texture information are trained to design scanning template. Then we apply the six templates to each 8×8 block and each block will choose one template which makes its code stream shortest. Experiment results show that the method in this paper achieves better coding efficiency obviously than not only the zigzag scanning method but also the context-based modified zigzag scanning method adopted in JPEG.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"129 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":"115917091","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
A level set method for retina image vessel segmentation based on the local cluster value via bias correction 基于局部聚类值校正的视网膜图像血管分割水平集方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407915
H. Gong, Yan Li, Gaoqiang Liu, Weilin Wu, Guannan Chen
{"title":"A level set method for retina image vessel segmentation based on the local cluster value via bias correction","authors":"H. Gong, Yan Li, Gaoqiang Liu, Weilin Wu, Guannan Chen","doi":"10.1109/CISP.2015.7407915","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407915","url":null,"abstract":"Segmentation of the retina vessels plays an important role in detecting earlier diseases, i.e. diabetic and hypertension. These diseases may cause the shape change of the vasculature. Due to the inhomogeneous of the retina image, it's very difficult to use region static information to get the result. We use a new level set method based on local region cluster information which proves to be well performed the inhomogeneous of the retina image. Experiment shows that our method is more robust to the initial contour C. In the experiment, our method can get a desirable segmentation result in the segmentation of retina images.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"44 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":"132359927","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: 17
Hierarchical segmentation for color images 彩色图像的分层分割
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408012
Qiang Chen
{"title":"Hierarchical segmentation for color images","authors":"Qiang Chen","doi":"10.1109/CISP.2015.7408012","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408012","url":null,"abstract":"It is a challenging task in the field of computer vision to obtain the hierarchical segmentation for a color image. This paper focuses on the problem of efficiently performing hierarchical segmentation and improving the segmentation precision. We first apply multiscale normalized cut to image pre-segmentation step to replace Voronoi algorithm or watershed transformation. In addition, an improved ultrametric measure method is introduced and employed to merger regions. Finally, the hierarchical segmentation results are obtained and one can get the best segmentation result by using threshold. Experimental results show that the proposed method is able to provide accurate segmentation result with high computational efficiency.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"178 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":"132411343","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
A calibration method for structured light systems based on a virtual camera 基于虚拟摄像机的结构光系统标定方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407850
Mingliang Fu, Yuquan Leng, Huiwen Zhang
{"title":"A calibration method for structured light systems based on a virtual camera","authors":"Mingliang Fu, Yuquan Leng, Huiwen Zhang","doi":"10.1109/CISP.2015.7407850","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407850","url":null,"abstract":"Structured light systems are a simple and efficient tool in the field of 3D reconstruction. Existing calibration methods of structured light systems are either not precise or elastic. In this paper, an easy to use method is proposed. The calibration of a structured light system can accomplished with a good accuracy. The projector projects a checkerboard pattern rendered by OpenGL functions onto a planar board, and the coordinates of corner points in the projector image plane are adjusted to the target position with an iterative algorithm. Thus, the projector can \"view\" the printed chessboard pattern. The calibration of a projector becomes essentially the same as that of a monocular camera. Meanwhile, the projector calibration doesn't depend on a pre-calibrated camera, which makes errors of the camera calibration cannot effect the projector calibration. Experimental results show that the mean re-projection error of the projector is less than 1 pixel.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"2 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":"134347280","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
A supervised method using convolutional neural networks for retinal vessel delineation 一种基于卷积神经网络的视网膜血管描绘监督方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407916
Qiaoliang Li, L. Xie, Qian Zhang, S. Qi, Ping Liang, Huisheng Zhang, Tianfu Wang
{"title":"A supervised method using convolutional neural networks for retinal vessel delineation","authors":"Qiaoliang Li, L. Xie, Qian Zhang, S. Qi, Ping Liang, Huisheng Zhang, Tianfu Wang","doi":"10.1109/CISP.2015.7407916","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407916","url":null,"abstract":"Retinal vessel delineation is a hot research topic owing to its importance in a lot of clinic application. Several methods have been proposed in the past decades. Here we will present a new supervised method for retinal vessel segmentation. The method is designed to explore the complex relationship between retinal images and their corresponding vessel label maps. Specifically, in order to build a model describing the direct transformation from retinal image to vessel map, we introduce a deep convolutional neural network (abbreviation as CNN), which has strong enough induction ability. For the purpose of constructing the whole vessel probability map, we also design a synthesis method. Our method shows better performance on DRIVE dataset than state-of-the-art of reported approaches in the light of sensitivity (abbreviation as Se), specificity (abbreviation as Sp) and accuracy (abbreviation as Acc). Our proposed method has great potential to be applied in existing computer-assisted diagnostic system of ophthalmologic diseases. Meanwhile, the method may offer a novel, general computing framework for segmentation in other fields.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"601 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":"133337880","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
Moving target detection in the robot system based on Omni-Vision and Laser Rangefinder 基于全方位视觉和激光测距仪的机器人运动目标检测
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408056
Yan-rong Hou
{"title":"Moving target detection in the robot system based on Omni-Vision and Laser Rangefinder","authors":"Yan-rong Hou","doi":"10.1109/CISP.2015.7408056","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408056","url":null,"abstract":"The moving target detection is now a hot issue in the field of mobile robot. Firstly, the moving object data was received by using Omni-Vision and Laser Rangefinder sensors. Secondly, the data obtained from a single sensor was analyzed, and the moving target was discovered. Finally, the multi-sensor moving object data was effectively integrated by making use of information fusion method, So the moving target position was located quickly and accurately in three space. Experiments were done in the AS-R mobile robot, Experimental results show that the method can accurately detect real-time moving object.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"182 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133748568","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
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