发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
A combined image denoising method 一种组合图像去噪方法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476118
Zhao Shuang-ping
{"title":"A combined image denoising method","authors":"Zhao Shuang-ping","doi":"10.1109/IASP.2010.5476118","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476118","url":null,"abstract":"This paper presents a combined denoising method based on an adaptive Wiener filtering in the wavelet domain and an adaptive Wiener filter in the spatial domain. First a pre-denoised image is obtained with the thresholding denoising in the wavelet domain and the residual noise variance of that is re-estimated. Then an adaptive Wiener filtering in spatial domain is applied to the reconstructed image to improve the accuracy. Computer simulation results show that, compared with a separate wavelet and spatial domain Wiener filtering, the mean squared error of the proposed method is the smallest and it obtains better denoising results.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"55 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":"124250197","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: 5
Hyperspectral image classification using wavelet packet analysis and gray prediction model 基于小波包分析和灰色预测模型的高光谱图像分类
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476105
Jihao Yin, Chaoqun Gao, Yifei Wang, Yisong Wang
{"title":"Hyperspectral image classification using wavelet packet analysis and gray prediction model","authors":"Jihao Yin, Chaoqun Gao, Yifei Wang, Yisong Wang","doi":"10.1109/IASP.2010.5476105","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476105","url":null,"abstract":"The main focus of hyperspectral image classification is the ability to extract information from a pixel's hyperspectral curve. In this paper, we propose a new classification method based on wavelet packet analysis and gray prediction model of hyperspectral reflectance curves. The wavelet packet analysis is used for feature extraction, while the gray prediction model is applied for dimensionality reduction. The efficiency of the proposed method will be estimated by the multivariate statistical analysis (i.e. Mahalanobis distance and quantile). Experimental results indicate that our algorithm has a relatively high efficiency, and classification accuracy of 99.3%.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"17 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":"123653704","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: 5
Color image enhancement with a human visual system based adaptive filter 基于人眼视觉系统的自适应滤波器的彩色图像增强
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476159
Xinghao Ding, Xinxin Wang, Quan Xiao
{"title":"Color image enhancement with a human visual system based adaptive filter","authors":"Xinghao Ding, Xinxin Wang, Quan Xiao","doi":"10.1109/IASP.2010.5476159","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476159","url":null,"abstract":"In this paper, considering the adaptive characteristics of human visual system, a new color image enhancement algorithm based on human visual system adaptive filter is proposed. The new algorithm is divided into three major parts: obtain luminance image and background image, adaptive adjustment and color restoration. Unlike traditional color image enhancement algorithms, the adaptive filter in the algorithm takes color information into consideration. The algorithm finds the importance of color information in color image enhancement and utilizes color space conversion to obtain a much better visibility. Experimental results show that the algorithm proposed has better effectiveness in reducing halo and color distortion.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"66 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":"124533391","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: 18
Real-time tracking algorithm based on improved Mean Shift and Kalman filter 基于改进Mean Shift和卡尔曼滤波的实时跟踪算法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476152
Dayuan Zhuang, Xiaohu Ma, Yunlong Xu
{"title":"Real-time tracking algorithm based on improved Mean Shift and Kalman filter","authors":"Dayuan Zhuang, Xiaohu Ma, Yunlong Xu","doi":"10.1109/IASP.2010.5476152","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476152","url":null,"abstract":"In traditional Mean Shift algorithm, color histogram is usually used as the features vectors, and the dissimilarity between the referenced targets and the target candidates is expressed by the metric derived from the Bhattacharyya coefficients. The traditional Mean Shift procedure is used to find the real position of the target by looking for the regional minimum of the distance function iteratively. While the target's color is similar to the background, the algorithm will miss the target. This paper presents a new mean shift algorithm based on spatial edge orientation histograms, using space distribution and texture information as matching information. Meanwhile a Kalman filter will be used to predict the target's position. Experimental results demonstrate that the proposed algorithm can deal with intricate conditions, such as significant clutter, partial occlusions, and it can track objects efficiently and robustly.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"30 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":"128194653","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
Multiscale geometric feature extraction and selection algorithms of similar objects 相似目标的多尺度几何特征提取与选择算法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476088
X. Mei, Xiaomin Gu, Jinguo Lin, Li Wu
{"title":"Multiscale geometric feature extraction and selection algorithms of similar objects","authors":"X. Mei, Xiaomin Gu, Jinguo Lin, Li Wu","doi":"10.1109/IASP.2010.5476088","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476088","url":null,"abstract":"To recognize objects with similar shapes, a scheme for feature extraction and selection based on Multiscale transformation is proposed in this paper. Multiscale Geometric Analysis is characterized with directionality and anisotropy, and the subbands in different decomposed scales could present different classification capabilities. The scheme applies time-frequency-localized feature algorithm as well as probability information measurement to choose the decomposing scale and directional subband in order to maximize similarity between objects in the same class while minimize similarity of objects in different classes. To some extent, the algorithm proposed has resolved the random selection problems of decomposing scale, direction number and directional sub-bands in Multiscale transforms. The experimental results have verified the effectiveness of the algorithm.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"1 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":"130192162","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
Hierarchical organization for medical video summarization using latent visual and semantic analysis 基于潜在视觉和语义分析的医学视频摘要分层组织
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476189
Yihan Zheng, Xiao-neng Xie, Ming Jiang, Qi Chen, Lu-qing Zhang
{"title":"Hierarchical organization for medical video summarization using latent visual and semantic analysis","authors":"Yihan Zheng, Xiao-neng Xie, Ming Jiang, Qi Chen, Lu-qing Zhang","doi":"10.1109/IASP.2010.5476189","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476189","url":null,"abstract":"The large increase of medical video archives demands effective organization for efficient retrieval and browsing. In this paper, we present a novel framework of video summarization based on the latent low-level visual and high-level semantic analysis. First, we investigate the concept hierarchy of the medical videos. Secondly, we collect textual semantic information around videos with an image-by-word matrix analysis process. Then, keyframe based video summarization is constructed by affinity propagation clustering and video content mining. Finally, we organize the extracted shots with hierarchical pattern, and tag keyframes with semantic labels. Our approach takes advantage of both visual content and textual information for video abstract. Preliminary experiment results show that our proposed approach could perform well.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"8 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":"133865637","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
Deformable 3-D model based vehicle matching with weighted Hausdorff and EDA in traffic surveillance 基于加权Hausdorff和EDA的可变形三维模型车辆匹配交通监控
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476171
Bo Yan, Shengjin Wang, Youbin Chen, Xiaoqing Ding
{"title":"Deformable 3-D model based vehicle matching with weighted Hausdorff and EDA in traffic surveillance","authors":"Bo Yan, Shengjin Wang, Youbin Chen, Xiaoqing Ding","doi":"10.1109/IASP.2010.5476171","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476171","url":null,"abstract":"3-D model based objects matching is a fundamental in image processing and computer vision, especially for object localization, tracking, and recognition. In this paper a new deformable models with commonly 9–12 length-angle shape parameters are used for matching, which can represent rich shape details for traffic vehicle classification. A Weighted Modified Square Haudsorff Distance (WMSHD) is designed to suppress the noise brought by the low quality of object in feature extraction, and then the weight is defined in the models and object edge points. Estimation of Distribution Algorithm (EDA) is used as the evolutionary algorithm to search the best parameters of model shape and localization with shape parameters and pose parameters. Experiments are made with histograms, curves. The matching results show that the proposed method is effective.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"63 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":"133392408","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
Structured-light based joint recognition using bottom-up and top-down combined visual processing 基于自底向上和自顶向下联合视觉处理的结构光联合识别
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476064
Yefei Gong, X. Dai, Xinde Li
{"title":"Structured-light based joint recognition using bottom-up and top-down combined visual processing","authors":"Yefei Gong, X. Dai, Xinde Li","doi":"10.1109/IASP.2010.5476064","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476064","url":null,"abstract":"In this paper a multilayer hierarchical visual processing architecture integrated with a bottom-up and top-down combined inference algorithm is proposed for robust weld joint recognition and localization. Three layers-pixel layer, primitive layer, and profile layer-are defined, firstly laser stripe centerline points are coarsely extracted from the image in pixel layer, then the primitive layer primitives are obtained by a grouping algorithm with a hypothesis-verification scheme, and at last a hypothesis for a joint pattern based on partial match is generated from profile layer and verified by searching through the lower layers of the hierarchy. During the top-down verification process, primitive that is partially extracted during former processing is recovered by using a local adaptive segmentation technique, which is intended to accommodate to different noise-to-signal levels. Experimental results validate the robust performance of this approach in the presence of heavy noise in real-time.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"196 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":"131875545","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: 13
Automatic personalized facial sketch based on ASM 基于ASM的自动个性化人脸素描
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476149
Yanming Sun, Z. Miao, Yi Wang, Zhao Wang
{"title":"Automatic personalized facial sketch based on ASM","authors":"Yanming Sun, Z. Miao, Yi Wang, Zhao Wang","doi":"10.1109/IASP.2010.5476149","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476149","url":null,"abstract":"The research on how to make a photo-based personalized facial sketch has important scientific significance and practical values. This paper proposes a method on how to generate a personalized sketch from digital color photo. First, the feature points are automatically extracted through Active Shape Model and the positions of these points are recorded; then, the style factor can be got from stylized samples. Finally, the personalized sketches will be generated through image warping. This method can be used in many applications such as caricature.","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":"124210972","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
Variational image segmentation on implicit surface using Split-Bregman method 基于Split-Bregman方法的隐式曲面变分图像分割
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476101
Qi Wang, Weibo Wei, Zhenkuan Pan
{"title":"Variational image segmentation on implicit surface using Split-Bregman method","authors":"Qi Wang, Weibo Wei, Zhenkuan Pan","doi":"10.1109/IASP.2010.5476101","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476101","url":null,"abstract":"The coupling images and their underlying surfaces results in complex implementation and low computing efficiency of image segmentation on surfaces. For the piecewise constant and smooth image segmentation on surface, the traditional Chan-Vese models are transformed to variational level set models on implicit surfaces and computed by using fast Split-Bregman methods in this paper. Additionally, the Split-Bregman methods are implemented based on the corresponding globally convex models to avoid the effects of contour initialization in segmentation results. Comparisons of experiment results validate the superiority of the models and algorithms presented in this paper.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"46 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":"114687380","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信