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2011 Sixth International Conference on Image and Graphics最新文献

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Automatic Classification of Ultraviolet Aurora Images Based on Texture and Shape Features 基于纹理和形状特征的紫外极光图像自动分类
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.12
S. Han, Zhensen Wu, Guangli Wu, Jun Tan
{"title":"Automatic Classification of Ultraviolet Aurora Images Based on Texture and Shape Features","authors":"S. Han, Zhensen Wu, Guangli Wu, Jun Tan","doi":"10.1109/ICIG.2011.12","DOIUrl":"https://doi.org/10.1109/ICIG.2011.12","url":null,"abstract":"Aurora is the typical ionosphere track generated by the interaction of solar wind and magnetosphere, and its detection is significant to study of space weather activity. Space-borne ultraviolet detectors, especially far ultraviolet band image detecting device, provide abundant detecting data. Based on the special morphology of ultraviolet aurora images, the combination of texture and shape features is utilized to extract the features of ultraviolet aurora images, and then a support vector machine (SVM) is employed to classify the auroras. The experiment based on ultraviolet aurora image data obtained by the Polar satellite shows the feasibility and effectiveness of our feature representation method.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124927454","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 Robust Traffic Sign Recognition System for Intelligent Vehicles 面向智能车辆的鲁棒交通标志识别系统
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.58
Zhi-Xian Chen, J. Yang, Bin Kong
{"title":"A Robust Traffic Sign Recognition System for Intelligent Vehicles","authors":"Zhi-Xian Chen, J. Yang, Bin Kong","doi":"10.1109/ICIG.2011.58","DOIUrl":"https://doi.org/10.1109/ICIG.2011.58","url":null,"abstract":"The recognition of traffic signs in natural environment is a challenging problem in computer vision because of the influence of weather conditions, illumination, locations, vandalism and other factors. In this paper, we propose a robust traffic signs recognition system for the real utilization of intelligent vehicles. The proposed system is divided into two phases. In the detection and coarse classification phase, we employ the Simple Vector Filter algorithm for color segmentation, Hough transform and curve fitting approaches in shape analysis to divide traffic signs into six categories according to the color and shape properties. In the refined classification phase, the Pseudo-Zernike moments features of traffic sign symbols are selected for classification by support vector machines. The rationality and effectiveness of the proposed system is validated from great number of experiments.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125236604","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: 8
Improved Non-local Iterative Back-Projection Method for Image Super-Resolution 图像超分辨率的改进非局部迭代反投影法
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.108
Xiuju Liang, Z. Gan
{"title":"Improved Non-local Iterative Back-Projection Method for Image Super-Resolution","authors":"Xiuju Liang, Z. Gan","doi":"10.1109/ICIG.2011.108","DOIUrl":"https://doi.org/10.1109/ICIG.2011.108","url":null,"abstract":"The non-local iterative back-projection (NLIBP) algorithm for image super-resolution proposed by Dong et al. can generate high-resolution image with sharp edges well preserved. However it may produce some unpleasant artifacts when applied to images with large shading areas, and the pixel-wise non-local post-processing is high complexity. This paper presents an improved NLIBP fast algorithm. First an edge detection is conducted on the initially interpolated image. Then the use of non-local filter in the modifying process for each initially interpolated pixel can be adaptively controlled according to the edges around, which greatly reduces the time consumption. The experimental results show that our improved algorithm reconstructs higher quality images in both the measure of PSNR and the subjective perception with lower complexity.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122464357","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: 30
Quantitative Comparison of Segmentation Results from ADS40 Images in Swiss NFI 瑞士NFI中ADS40图像分割结果的定量比较
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.105
Zuyuan Wang, R. Boesch, C. Ginzler
{"title":"Quantitative Comparison of Segmentation Results from ADS40 Images in Swiss NFI","authors":"Zuyuan Wang, R. Boesch, C. Ginzler","doi":"10.1109/ICIG.2011.105","DOIUrl":"https://doi.org/10.1109/ICIG.2011.105","url":null,"abstract":"Image segmentation is an important component in object based forest management with increasing high resolution remote sensing data such as ADS40 images. However, evaluation of segmentation algorithms has been largely subjective. To be able to evaluate image segmentation methods quantitatively and objectively, we applied a new error measurement which quantifies the performance of an image segmentation algorithm based on object shape and size as well. Experimental results show that the applied measurement is sensitive to over-segmentation and under-segmentation that can be served as a useful tool for further establishing an evaluation system.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115144991","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
Improvement of Virtual View Rendering Based on Depth Image 基于深度图像的虚拟视图渲染改进
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.167
D. Hu, Jianfei Sun, Ping Xu
{"title":"Improvement of Virtual View Rendering Based on Depth Image","authors":"D. Hu, Jianfei Sun, Ping Xu","doi":"10.1109/ICIG.2011.167","DOIUrl":"https://doi.org/10.1109/ICIG.2011.167","url":null,"abstract":"Virtual view rendering has great importance in 3-D display. In order to get high-quality image of an arbitrary view from 2-D source image, improvement on depth-image based rendering (DIBR) is studied in this paper. By analyzing the process of virtual view rendering of DIBR, an improved method is proposed, which generates new view by modifying parallax of two views and incorporating image in painting. The parallax is deduced from depth information, and modified afterwards according to parallax gradient, so as to reduce hole regions before generating new view by 3-D image warping. To further remove the remaining holes, image in painting combining texture and depth information is incorporated. Experimental results show the superiority of the proposed method.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121861024","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
Local Dominant Orientation Based Mutual Information for Multisensor Template Matching 基于局部优势方向互信息的多传感器模板匹配
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.42
Yuzhuang Yan, Yongbin Zheng, Wanying Xu, Xinsheng Huang
{"title":"Local Dominant Orientation Based Mutual Information for Multisensor Template Matching","authors":"Yuzhuang Yan, Yongbin Zheng, Wanying Xu, Xinsheng Huang","doi":"10.1109/ICIG.2011.42","DOIUrl":"https://doi.org/10.1109/ICIG.2011.42","url":null,"abstract":"Mutual information (MI) has been very successful in multisensor or multimodal image matching. However, it may lead to mismatching due to lack of spacial information. In this paper, based on a local dominant orientation (LDO), which is a stable nature among images of different sensors and is widely used in the relative rotation estimation, an improved MI for multisensor images matching is proposed. Firstly, the frequently used intensity images are converted to a LDO represented form, where the LDO for each pixel is calculated by cumulating the surrounding gradient vectors within a disk like region. Next, we introduce a simple clustering to cluster each transformed image, thus the joint histogram of MI in the matching stage can be reduced significantly, and hence the computations, memory consumption. Our approach is evaluated by 10 groups of multisensor images, and the results have demonstrated its outstanding performances.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"31 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132609814","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
Novel Smile Feature Extraction Algorithm Using Improved Gabor for Mobile Phone Platform 基于改进Gabor的手机平台微笑特征提取算法
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.28
Wei-guo Yang, Shuo-he Zhen
{"title":"Novel Smile Feature Extraction Algorithm Using Improved Gabor for Mobile Phone Platform","authors":"Wei-guo Yang, Shuo-he Zhen","doi":"10.1109/ICIG.2011.28","DOIUrl":"https://doi.org/10.1109/ICIG.2011.28","url":null,"abstract":"Due to the strengthening of the computer capabilities and storage capacity in mobile devices over the years, an incorporation of real-time smile recognition to mobile devices such as mobile phone and PDA is no longer unattainable. In this paper, we attempt to establish this possibility by presenting a novel face feature extraction algorithm in mobile devices for smile recognition. We extract global face features using Gabor filters, and then through a training process using the AdaBoost algorithm our system can efficiently search for key features in a large set of features. Finally we calculate the key points in the original image and the corresponding convolution masks. Experimental results show that the proposed algorithm significantly outperforms several popular smile recognition methods with a dramatic reduction in computational time.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133303609","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
Segmentation Based on Routing Image Algorithms 基于路由图像算法的分割
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.159
Hongzhe Yang, Jian Yang, Yongtian Wang, Yue Liu
{"title":"Segmentation Based on Routing Image Algorithms","authors":"Hongzhe Yang, Jian Yang, Yongtian Wang, Yue Liu","doi":"10.1109/ICIG.2011.159","DOIUrl":"https://doi.org/10.1109/ICIG.2011.159","url":null,"abstract":"This paper presents a novel image segmentation method in which energy function is based on global region information while not only on edge information. Image segmentation can be viewed as a routing problem. In order to obtain the optimal segmentation, the Shortest Path Faster Algorithm (SPFA) is used to optimize the discrete grid energy function. As the commonly used Live-Wire algorithm is easy to obtain mistake segmentation when the strong edges and the weak edges are close to each other, the interactive segmentation method is proposed for the precise boundaries estimation. The developed method has been tested on both clinical medical images and natural scene images. It can be seen that the developed method is very fast and effective, and can obtain good segmentation results.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133747270","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
Real-Time Multiple Vehicles Tracking with Occlusion Handling 实时多车辆跟踪与遮挡处理
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.140
Wei Fang, Yong Zhao, Yule Yuan, Kai Liu
{"title":"Real-Time Multiple Vehicles Tracking with Occlusion Handling","authors":"Wei Fang, Yong Zhao, Yule Yuan, Kai Liu","doi":"10.1109/ICIG.2011.140","DOIUrl":"https://doi.org/10.1109/ICIG.2011.140","url":null,"abstract":"Vehicle detection and tracking is fundamental to vision-based traffic applications. We introduce a real-time system for multiple vehicles tracking with occlusion handling. Firstly, a method of three-level noise removing and vehicle segmentation is presented. Then the segmented vehicles are tracked by using an approach based on normalized area of intersection and the system keeps tracking the occluded vehicles independently by local corner features matching and tracking. Experimental results from video sequences of real-world traffic scenes in the daytime are presented which demonstrate the effectiveness of the algorithm.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123233155","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
Performance Evaluation for IR Small Target Tracking Algorithm 红外小目标跟踪算法性能评价
2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI: 10.1109/ICIG.2011.65
Yi-qiang Fang, Xiang Fan
{"title":"Performance Evaluation for IR Small Target Tracking Algorithm","authors":"Yi-qiang Fang, Xiang Fan","doi":"10.1109/ICIG.2011.65","DOIUrl":"https://doi.org/10.1109/ICIG.2011.65","url":null,"abstract":"The abstract goes According to the incomplete of performance evaluation for IR small target tracking algorithm, the paper presented a combined criterion of performance evaluation by considering the veracity, real-time demand and the implementation on hardware of the tracking algorithm. And the method for calculating the performance evaluation was confirmed by analyzing the three detailed. The combined criterion and some resolution of material issues were presented for the first time by the paper. And then experiment was made by tracking algorithms and real IR images, the results demonstrate the rationality of the performance evaluation method this paper provided.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124844563","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
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