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

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Fast gradient-aware upsampling for cartoon video 快速梯度感知上采样卡通视频
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476190
Xing Yan, Jianbing Shen
{"title":"Fast gradient-aware upsampling for cartoon video","authors":"Xing Yan, Jianbing Shen","doi":"10.1109/IASP.2010.5476190","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476190","url":null,"abstract":"In this paper, we propose a novel fast gradient-aware upsampling approach for cartoon animation. The advantage of our method is that we don't need any prior knowledge and deconvolution stage to deblur the estimated result like existing methods. The low-resolution input video is initially upsampled to the desired high-resolution by a fast bicubic interpolation approach. After that, the gradient transformation is applied to the initially upsampled video frame. Finally, energy optimization is employed to recover additional fine details and structures. Our method is easy to implement and runs very fast. Moreover, in order to increase or decrease the sharpness of the reconstructed high resolution image, the user just needs to adjust one parameterg . Thus, our approach is suitable for the task of cartoon video upsampling.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"15 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":"121895538","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: 4
Method of phase unwrapping-free DEM reconstruction of InSAS InSAS无相位解包裹DEM重建方法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476163
Shengxiang Bai, Jinsong Tang, Ming Chen, Sen Zhang
{"title":"Method of phase unwrapping-free DEM reconstruction of InSAS","authors":"Shengxiang Bai, Jinsong Tang, Ming Chen, Sen Zhang","doi":"10.1109/IASP.2010.5476163","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476163","url":null,"abstract":"In this paper a kind of phase unwrapping-free digital elevation model(DEM) reconstruction method of interferometric synthetic aperture sonar(InSAS) is described. Firstly, a new method of coarse DEM generation is proposed. In the method, a pair of images are divided into small blocks and resampled to a set of reference planes. The height of each block pair is estimated by measuring the maximum coherence of the corresponding pair resampled to different reference planes. The entire heights of the blocks are interpolated to obtain the coarse DEM. After that, the resulting coarse DEM is used to flatten interferogram. The residual interferogram generally is unwrapped. Therefore phase unwrapping can be avoided. Simulation result is presented. The resulting DEM indicates that the proposed method has good potential for topographic mapping of the seafloor surface.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"32 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":"121852557","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
Fast image segmentation based on two-dimensional minimum Tsallis-cross entropy 基于二维最小tsallis交叉熵的快速图像分割
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476103
Weiyi Wei, Xianghong Lin, Guicang Zhang
{"title":"Fast image segmentation based on two-dimensional minimum Tsallis-cross entropy","authors":"Weiyi Wei, Xianghong Lin, Guicang Zhang","doi":"10.1109/IASP.2010.5476103","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476103","url":null,"abstract":"Image segmentation based on 2-D (two dimensional) histogram is an effective method because the structure information is taken into account in image. However, it always is on the assumption that partial region of 2-D histogram equals to zero, while utilizing Shannon entropy as optimization function. As a result, the efficiency of image segmentation is degraded seriously. In this paper, we proposed a fast thresholding segmentation based on two-dimensional minimum Tsallis-cross entropy and PSO, which utilizes minimum Tsallis-cross entropy as optimization function which is non-extensive and calculates optimal threshold in improved gray level-gradient histogram which cancels previous hypothesis that partial region value equals to zero in histogram. At the same time, the improved 2-D histogram is clustered before searching optimal threshold value to shorten the time. Experiment results show that the proposed algorithm achieves a better segmentation quality and computation efficiency.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"38 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":"124728486","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: 4
Online recognition of multi-stroke handwritten Urdu characters 多笔划手写乌尔都语字符的在线识别
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476113
K. Khan, Ihtesham Haider
{"title":"Online recognition of multi-stroke handwritten Urdu characters","authors":"K. Khan, Ihtesham Haider","doi":"10.1109/IASP.2010.5476113","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476113","url":null,"abstract":"Character recognition has enjoyed a lot of research in the recent past. Good recognition systems are available commercially for alphabetical languages based on Roman characters and for symbolic languages like Chinese. But languages based on Arabic alphabets like Arabic, Urdu etc. do not have such recognition systems. The recognition systems generally have a scanner or camera as the input device for off-line recognition, or a stylus/tablet as input device for online recognition. These systems are used in conjunction with the input peripheral devices like keyboards and mice. With the recent developments in electronic tablets, pen movements can be captured more accurately. This paper presents part of the work for online recognition of handwritten Urdu language characters. Urdu language is based on Arabic alphabets with larger character set as compared to Arabic (37 characters). Urdu, due to its large character set and limited number strokes, is difficult to recognize. Many characters are similar with little differences. Online recognition of multi stroke (two-, three-, and four-stroke) handwritten Urdu characters is presented in this paper, whereas, single-stroke character recognition was presented in a preceding work. After necessary preprocessing, some novel features are extracted. Various types of classification methodologies are then tested in order to find the best combination of features and classifiers for two-, three-, and four-strokes handwritten Urdu characters recognition.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"21 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":"124828788","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
A beamforming method for cylindrical array based on synthetic pattern of subarray 一种基于子阵合成方向图的圆柱阵波束形成方法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476182
Zou Lin, He Zishu
{"title":"A beamforming method for cylindrical array based on synthetic pattern of subarray","authors":"Zou Lin, He Zishu","doi":"10.1109/IASP.2010.5476182","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476182","url":null,"abstract":"A new approach to beamforming for a cylindrical conformal array geometry is developed. We first derive a deterministic expression that describes the beam pattern of arbitrary weighted cylindrical conformal array. Then, we derive the beamformer for uniform linear array (ULA) of directional antennas. Thus, the pattern of subarray is synthesized, and we design the method which uses beamformer for ULA of the synthetic pattern. To demonstrate the validity of the method, 2× 4 and 2×8 cylinder arrays are constructed and experimental results agree well with theoretical expectations.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"156 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":"126207368","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: 4
A study of the relation between the land use types and urban heat island effect in Guangzhou city based on remote sensing 基于遥感的广州市土地利用类型与城市热岛效应关系研究
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476074
Cui Haishan, Qian Lexiang
{"title":"A study of the relation between the land use types and urban heat island effect in Guangzhou city based on remote sensing","authors":"Cui Haishan, Qian Lexiang","doi":"10.1109/IASP.2010.5476074","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476074","url":null,"abstract":"Urban heat island effect refers to the phenomenon of urban temperatures being higher than the suburban. relation of the city land use and the urban heat island effect has gradually become an important environmental problem that arousing general concern. Remote sensed data has been an effective measure monitoring and analyzing the land use change and the urban heat island effect. This paper adopted the maximum likelihood classification to divide the Guangzhou City land use types into cultivated land, forest, water, bare land and built-up using Landsat TM data 0f 1990, 1998 and 2005; The city heat island region was indicated by the urban brightness temperature, furthermore, the urban brightness temperature was retrieved by the band 6 of Landsat TM, the ground brightness temperature map was achieved. Based on GIS, this paper analyzed the relation of the urban heat island effect and the land use types in Guangzhou City. The aim of this paper is to provide the basic information for improving environmental quality and the rational land use pattern in Guangzhou City.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"61 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120997792","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
3D facial feature location based on local shape map 基于局部形状图的三维人脸特征定位
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476175
Wang Mi-gong, Chen Duan-sheng
{"title":"3D facial feature location based on local shape map","authors":"Wang Mi-gong, Chen Duan-sheng","doi":"10.1109/IASP.2010.5476175","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476175","url":null,"abstract":"Automatic location of face salient points is one of the key steps in 3D face recognition. This paper presents a fully automatic locating algorithm for 3D facial nose tip and inner eye corner in different views, which relies on a statistical model by combining local shape map and local shape index with the statistical radius of the local shape map. The experimental results on the CASIA 3D face database demonstrate that this method finds more precise location than heuristic algorithms and curvature-based methods.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"21 7 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":"124340806","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
An intelligent knitted garment defect detection and classification model based on Gabor filter and Modified Elman neural network 基于Gabor滤波和改进Elman神经网络的智能针织服装缺陷检测与分类模型
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476161
Y. H. Zhang, C. Yuen, Wai Keung Wong, Chi-wai Kan
{"title":"An intelligent knitted garment defect detection and classification model based on Gabor filter and Modified Elman neural network","authors":"Y. H. Zhang, C. Yuen, Wai Keung Wong, Chi-wai Kan","doi":"10.1109/IASP.2010.5476161","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476161","url":null,"abstract":"In this paper a new knitted garment defect detection and classification model based on 2D Gabor wavelet transform and Elman neural network is introduced. A new modified Elman network is proposed to classify the type of fabric defects which have proportional (P), integral (I), derivative (D) properties. The proposed inspecting model in this study is more feasible and applicable in fabric defect detection and classification. Compared with the traditional back propagation BP network, the successful classification rate obtained by the PID Elman network is higher than the BP neural network with the same number of classification parameter, and training time and classification time used by PID Elman is less than BP neural network.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"34 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":"117116424","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
Spectral analysis based fingerprint image enhancement algorithm 基于光谱分析的指纹图像增强算法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476187
Zhang Yuanyuan, Jing Xiaojun
{"title":"Spectral analysis based fingerprint image enhancement algorithm","authors":"Zhang Yuanyuan, Jing Xiaojun","doi":"10.1109/IASP.2010.5476187","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476187","url":null,"abstract":"Many fingerprint images are of very poor quality, which will greatly damage the performance of the automatic fingerprint identification system (AFIS). In order to ensure that the performance is robust with respect to the quality of input fingerprint images, an enhancement algorithm is necessary. Gabor filter is a very effective tool for image enhancement. In this paper, an algorithm that take advantage of the characteristics of gabor filter functions both in spectral and spatial domain are proposed to dynamically estimate the gabor filter's parameters and bandwidth. Finally, the images are filtered in frequency domain using the obtained gabor Frequency-domain filter function. The filtering results show that images are greatly improved.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"43 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":"115269720","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
A digital watermark scheme for vector graphics 矢量图形的数字水印方案
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476177
Liangbin Zheng, K. Xie, Yeli Li, Huaqun Liu, Tong Li
{"title":"A digital watermark scheme for vector graphics","authors":"Liangbin Zheng, K. Xie, Yeli Li, Huaqun Liu, Tong Li","doi":"10.1109/IASP.2010.5476177","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476177","url":null,"abstract":"Among the newly explored research areas of digital watermarking, various types of data embedding technologies for vector graphics have drawn more and more attention. The features of vector graphics on the data expression and use were analyzed. The requirements of watermarking for vector graphics are discussed. Utilizing the characteristics of vector graphics, an adaptive classification method is proposed, which is based on the number of vector graphics entities' vertices. To embed digital watermark in the vector graphics by changing the statistical properties of different classification, this can be achieved by modifying the vertex value within an error tolerance. The extraction of watermark does not require the original vector graphics. Experiments show that this scheme has good transparency and robustness.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"33 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":"115932269","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
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