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2013 Seventh International Conference on Image and Graphics最新文献

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Orthogonal GF Moments for Image Representation 图像表示的正交GF矩
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.59
Chen Wei, Cai Zhanchuan, Huang Jing
{"title":"Orthogonal GF Moments for Image Representation","authors":"Chen Wei, Cai Zhanchuan, Huang Jing","doi":"10.1109/ICIG.2013.59","DOIUrl":"https://doi.org/10.1109/ICIG.2013.59","url":null,"abstract":"A new set of orthogonal moment functions named as GF moments (GFMs) was proposed in this paper. The kernel functions of GFMs is GF-system, which is a class of complete orthogonal spline function set of degree k(k=0,1,2,?). The implementation of GFMs does not involve any numerical approximation and has a rather low computation complexity, since the basis set has the advantages of lower order. These properties make GFMs superior to the traditional polynomial moments such as Legendre moments and Zernike moments, in terms of the image reconstruction. Our simulation results also show that GFMs have a better feature representation capability.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114086120","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
Image Processing and Recognition of Multiple Static Hand Gestures for Human-Computer Interaction 面向人机交互的多静态手势图像处理与识别
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.102
Yongjing Liu, Yixing Yang, Lu Wang, Jiapeng Xu, Hongzhi Qi, Xin Zhao, Peng Zhou, Lixin Zhang, B. Wan, Dong Ming, Defang Guo, Bin Shi, Jun Wang
{"title":"Image Processing and Recognition of Multiple Static Hand Gestures for Human-Computer Interaction","authors":"Yongjing Liu, Yixing Yang, Lu Wang, Jiapeng Xu, Hongzhi Qi, Xin Zhao, Peng Zhou, Lixin Zhang, B. Wan, Dong Ming, Defang Guo, Bin Shi, Jun Wang","doi":"10.1109/ICIG.2013.102","DOIUrl":"https://doi.org/10.1109/ICIG.2013.102","url":null,"abstract":"The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). However, the number of hand gestures has not been fully explored for HCI application. It is necessary to achieve more gestures as the command of interface. This paper proposed a method to recognize nine different hand gestures. Using camera to get images of people wearing pink gloves, and then preprocess those images by color splitting, morphological processing and edge extraction. Fourier descriptor, edge histogram and boundary moment invariants are three methods of feature extraction. At last, the template matching was used to realize the hand gesture recognition. The average recognition rate of the nine different gestures employing three different methods is 0.859.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116508629","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: 7
Improving the Discriminability of Dictionary by Gist Information Detection 利用Gist信息检测提高词典的可辨别性
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.89
Tao Xu, H. Tuo, Zheng Fang, Li Liu, Z. Jing
{"title":"Improving the Discriminability of Dictionary by Gist Information Detection","authors":"Tao Xu, H. Tuo, Zheng Fang, Li Liu, Z. Jing","doi":"10.1109/ICIG.2013.89","DOIUrl":"https://doi.org/10.1109/ICIG.2013.89","url":null,"abstract":"Image representations using code words from a visual dictionary are widely applied in object detection and categorization. Traditionally, there are two types of methods to construct a dictionary: k-means and optimization-based method. The former cannot achieve a good discriminability because it extracts too many background features. The latter needs to cooperate with coding methods and brings about high computational complexity. In this paper, we present an effective method based on Gist information detection to obtain a more discriminative dictionary with low computational cost. First, we partition the image into increasingly fine sub-regions, and calculate the Gist information of each region. Then extract more features from sub-regions with richer information and fewer features from ones with less information. Finally construct a dictionary using the non-uniform sampling features. Experiments on Caltech101 show that our method can achieve a better performance than traditionally k-means and the optimization-based method. Hence our dictionary has a better discrimination.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132715547","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
Reversible Data Hiding for Multispectral Image with High Radiometric Resolution 高辐射分辨率多光谱图像的可逆数据隐藏
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.31
Hai Fang, Quan Zhou
{"title":"Reversible Data Hiding for Multispectral Image with High Radiometric Resolution","authors":"Hai Fang, Quan Zhou","doi":"10.1109/ICIG.2013.31","DOIUrl":"https://doi.org/10.1109/ICIG.2013.31","url":null,"abstract":"This paper presents a reversible data hiding algorithm based on integer transform for high radiometric resolution multispectral images which have gradually been the main data source of spatial geographic information. Focusing on the characteristic of high radiometric resolution multispectral images, Reversible Karhunen-Loêve transform (RKLT) followed by integer wavelet transform (IWT) is applied to host images. Secret messages are embedded by a multilevel histogram modification technique in the transform domain. The Triangular Elementary Reversible Matrixes (TERM) are also embedded as secret messages into the input image which guarantees the host image can be perfectly restored after the embedded data extracted. Experimental results on multispectral images obtained from Quick Bird show that the proposed method has better visual quality and higher hiding capacity than the representative methods.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132383544","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
Research of Adaptive Frame Difference Moving Target Segmentation Based on MRF 基于MRF的自适应帧差运动目标分割研究
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.50
Chen Ge-heng, Li Ya-jing
{"title":"Research of Adaptive Frame Difference Moving Target Segmentation Based on MRF","authors":"Chen Ge-heng, Li Ya-jing","doi":"10.1109/ICIG.2013.50","DOIUrl":"https://doi.org/10.1109/ICIG.2013.50","url":null,"abstract":"Moving target segmentation which is an important research subject in many fields, such as artificial intelligence, industrial monitoring and human-computer interaction, the research of moving target segmentation algorithm in video sequence has vital academic significance and practical value. This paper introduced Markov Random Field theory into image sequence target segmentation process which is based on initial segmentation in static scene. In the paper, we constructed Adaptive Markov Random Field algorithm combining with adaptive Otsu method, namely the AMRF model. And also extracted the inter-frame difference mask by this model and inter-frame difference method. Experimental results show that the algorithm is effective and the moving target segmentation effect by this model is desirable.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122069809","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
Facial Expression Recognition Based on Gabor Wavelet Phase Features 基于Gabor小波相位特征的面部表情识别
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.110
Dongcheng Shi, Fang Cai, Guangyi Du
{"title":"Facial Expression Recognition Based on Gabor Wavelet Phase Features","authors":"Dongcheng Shi, Fang Cai, Guangyi Du","doi":"10.1109/ICIG.2013.110","DOIUrl":"https://doi.org/10.1109/ICIG.2013.110","url":null,"abstract":"Gabor wavelet transform usually extracts features using Gabor amplitude features, because the Gabor amplitude reflects the energy spectrum of the image, but the phase information contains rich texture information. This paper proposes a facial expression recognition algorithm using Gabor wavelet phase features. First, facial positioning on the human face, extracting facial sub-graphs, and normalizing the expression features of the sub-graphs. Then, using a multi-orientation and multi-frequency set of 2D Gabor wavelet to transform expression, and combining of Gabor coefficient after the transformation so that it can extract the phase characteristics. With K - nearest neighbor classifier to classify, the experimental results that conducted on the JAFFE database demonstrates its efficiency and validity.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124433673","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: 24
Local Region Statistics-Based Active Contour Model for Medical Image Segmentation 基于局部区域统计的医学图像主动轮廓分割模型
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.47
Wenchao Cui, Yi Wang, T. Lei, Yangyu Fan, Yan Feng
{"title":"Local Region Statistics-Based Active Contour Model for Medical Image Segmentation","authors":"Wenchao Cui, Yi Wang, T. Lei, Yangyu Fan, Yan Feng","doi":"10.1109/ICIG.2013.47","DOIUrl":"https://doi.org/10.1109/ICIG.2013.47","url":null,"abstract":"This paper presents a novel active contour model for simultaneous segmentation and bias field estimation of medical images. Based on the additive model of images with intensity in homogeneity, we characterize the statistics of image intensities belonging to each different object in local regions as Gaussian distributions with different means and variances. According to maximum a posteriori probability (MAP) and Bayes rule, we first derive a local objective function for image intensities in a neighborhood around each pixel. Then this local objective function is integrated with respect to the neighborhood center over the entire domain to give a global criterion. In a level set formulation, this global criterion defines an energy in terms of the level set functions that represent a partition of the image domain and a bias field that accounts for the intensity in homogeneity of the image. Therefore, image segmentation and bias field estimation are simultaneously achieved via a level set evolution process. Experimental results for synthetic and real images show desirable performances of our method.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121409100","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 Data-Driven Path Synthesis Framework for Racing Games 赛车游戏的数据驱动路径合成框架
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.138
C. Tan, Hung-Wei Hsu, Wen-Kai Tai, Chinchen Chang, Der-Lor Way
{"title":"A Data-Driven Path Synthesis Framework for Racing Games","authors":"C. Tan, Hung-Wei Hsu, Wen-Kai Tai, Chinchen Chang, Der-Lor Way","doi":"10.1109/ICIG.2013.138","DOIUrl":"https://doi.org/10.1109/ICIG.2013.138","url":null,"abstract":"We propose a data-driven race path synthesis framework with controllability for synthesizing realistic race paths. We represent a set of collected race paths in a path database using a formation graph in the preprocessing stage. By traversing the graph according to a given constraint, we generate a list of race path clips and combine and refine them sequentially to synthesize new race paths. Since the synthesized path is generated from existing paths with quality guaranteed, the synthesized path also provides the same level of quality. As the experimental results and user study results show, our framework produces good results effectively and is suitable for real time applications such as horse racing games.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122973568","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
Multiphase Segmentation on CT Liver Image Using Split-Augmented-Lagrangian Projection Method 分割增强拉格朗日投影法在肝脏CT图像多相分割中的应用
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.48
Wei Wang, Zhenkuan Pan, Qian Dong, Guodong Wang
{"title":"Multiphase Segmentation on CT Liver Image Using Split-Augmented-Lagrangian Projection Method","authors":"Wei Wang, Zhenkuan Pan, Qian Dong, Guodong Wang","doi":"10.1109/ICIG.2013.48","DOIUrl":"https://doi.org/10.1109/ICIG.2013.48","url":null,"abstract":"The variational level set model for piecewise constant multiphase image segmentation on the plane and the related Split-Augmented-Lagrangian Projection Method (SALPM) are investigated in this paper. On the analysis of the current problems based on the variational level set method for image segmentation, we also design a rapid SALPM method for two-phase image segmentation model, getting the general model of multiple phase level set in order to facilitate the generic design and program. In addition, the concrete formula of the rapid split algorithms for multiphase image segmentation with level set model and the calculation steps are given, and simultaneously taking liver tumor CT image as examples of the multiphase segmentation. Moreover, by comparing with the traditional methods, the experiments show that our algorithm presented in this paper have higher computational efficiency and accuracy, and better the extraction of liver contour.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131582277","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
IC Defect Image Filtering Based on Graph Morphology 基于图形态学的IC缺陷图像滤波
2013 Seventh International Conference on Image and Graphics Pub Date : 2013-07-26 DOI: 10.1109/ICIG.2013.18
Yanhong Gao, Junping Wang
{"title":"IC Defect Image Filtering Based on Graph Morphology","authors":"Yanhong Gao, Junping Wang","doi":"10.1109/ICIG.2013.18","DOIUrl":"https://doi.org/10.1109/ICIG.2013.18","url":null,"abstract":"Integrated circuit(IC) defect image filtering is very important for the classification and the identification of IC real defects and its result will affect the validity and reliability of the later processing and analysis. This paper aims to use the new theory of graph morphology to filter the IC defect image. In this paper, we introduce the morphological operations on graph. The image is represented as graph composed of vertices, edges connecting vertices and weight. Structuring graph which is a counterpart of structuring elements in classical morphology is presented. We use the graph morphological filter composed of opening and closing to realize filtering. Experiments show that the application has better result compared with traditional methods for filtering the images.","PeriodicalId":425822,"journal":{"name":"2013 Seventh International Conference on Image and Graphics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125288370","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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