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

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Face blind separation using wavelet packet independent component analysis 基于小波包独立分量分析的人脸盲分离
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476181
Xiaoli Huang, H. Zeng
{"title":"Face blind separation using wavelet packet independent component analysis","authors":"Xiaoli Huang, H. Zeng","doi":"10.1109/IASP.2010.5476181","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476181","url":null,"abstract":"A novel wavelet packet based approach to Subband decomposition independent component analysis (SDICA) is proposed. The mutual information based on small cumulant is introduced to select the Subband with least dependent components. We present favorable comparisons to the WPSD ICA and other ICA algorithm in extensive simulations. We demonstrate consistent performance in terms of accuracy and robustness as well as computational efficiency of WPSD ICA algorithm. Experimental results demonstrate that the proposed method can significantly improve the face recognition performance.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"277 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":"124459695","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
Instrumentation design of an image fusion based on biorthogonal wavelet 基于双正交小波的图像融合仪器设计
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476108
Jianlin Li, Gang Wang, Ming Zhao
{"title":"Instrumentation design of an image fusion based on biorthogonal wavelet","authors":"Jianlin Li, Gang Wang, Ming Zhao","doi":"10.1109/IASP.2010.5476108","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476108","url":null,"abstract":"Image fusion could process and utilize the source images, with complementing different image information, to achieve the more objective and essential understanding of the identical object. In order to implement image fusion on a real-time embedded system, a proper algorithm must be considered. A novel image fusion scheme based on biorthogonal wavelet decomposition is presented in this paper. As for wavelet transform algorithm, due to the virtue of its multi-resolution, wavelet transform has been applied in image processing successfully. Another advantage of wavelet transform is that it can be much more easily realized in hardware because its data format is very simple. This could save a lot of resources, besides, to some extent, it can solve the real-time problem of huge-data image fusion. However, as the orthogonal filter of wavelet transform doesn't have the characteristics of linear phase, the phase distortion will lead to distortions of the image edge. To make up for this shortcoming, the biorthogonal wavelet is introduced here. In this paper, the hardware and software solutions of an embedded real-time instrumentation are demonstrated. This design which is implemented on the high performance DSP (TMS320DM642) platform has combined an infrared image and a visible image with biorthogonal wavelet fusion technology.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"22 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":"121067090","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
Design and implementation of MPEG audio layer III decoder using graphics processing units 利用图形处理单元设计并实现了MPEG音频第三层解码器
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476071
Chen Xiaoliang, Zheng Chengshi, Ma Longhua, Cheng Xiaobin, Li Xiaodong
{"title":"Design and implementation of MPEG audio layer III decoder using graphics processing units","authors":"Chen Xiaoliang, Zheng Chengshi, Ma Longhua, Cheng Xiaobin, Li Xiaodong","doi":"10.1109/IASP.2010.5476071","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476071","url":null,"abstract":"This work describes a new implemented method for the MPEG audio layer III (MP3) decoder. The proposed architecture is based on a graphic process unit (GPU) using CUDA environment, where it can effectively take advantage of modern GPU's parallel computing power. The implemented system with this architecture employs a multi-thread model and memory optimization to process MP3 decoding in parallel, so it is significant to minimize the computational overhead. Experimental results on a GTX260+ graphics card showed that the proposed architecture is over five times faster than traditional MP3 library based on CPU.","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":"127499363","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
A new method based on the BP neural network to improve the accuracy of inversion of the vegetation height 提出了一种基于BP神经网络提高植被高度反演精度的新方法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476059
Li Tingwei, L. Diannong, Hu Haifeng, Z. Jubo
{"title":"A new method based on the BP neural network to improve the accuracy of inversion of the vegetation height","authors":"Li Tingwei, L. Diannong, Hu Haifeng, Z. Jubo","doi":"10.1109/IASP.2010.5476059","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476059","url":null,"abstract":"The error in the estimation of the ground interferometric phase will reduce the accuracy of the inversion of the vegetation height in three-stage vegetation inversion method. Aiming at this problem, the new vegetation height inversion method based on the BP neural network is proposed. The new method directly fits the nonlinear mapping relationship between the complex correction coefficients and the vegetation height, so it reduces the height inversion error caused by the error in the estimated ground interferometric phase. The new method has better performance than the three-stage vegetation height inversion method, and the experiment results validate the superiority of the new method.","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":"125131584","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
Research of establishment and application for spatio-temporal data models of an open-pit stope 露天矿采场时空数据模型的建立与应用研究
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476138
Li Lanyong, Song Weidong
{"title":"Research of establishment and application for spatio-temporal data models of an open-pit stope","authors":"Li Lanyong, Song Weidong","doi":"10.1109/IASP.2010.5476138","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476138","url":null,"abstract":"With the technology of Geographic Information System (GIS) as the core and for the goal of establishing the spatio-temporal database of an open pit stope, the process of the strip mine production planning including shelling excavating and casting can be considered as the changed process of 3D geographic-spatial information based on time series, by establishing the spatio-temporal database of stopes, dynamically describing the process of the strip mine production planning including shelling excavating and casting, it can provide a full range of spatial information supports for the optimal pre-control and decision-making of the plan, the design and the production scheduling management of strip mines. It proposed the 3D modelling theory and the method of an open-pit stope of the TIN which is considering its step feature, the stope spatio-temporal database can be established with essential status revision and continual snapshot model, by using GIS and Virtual Reality (VR) technology, it achieves the exploitation-process playback and production-plan ahead demonstration, and establishes the framework and platform of basic geographic-spatial information for the digital open-pit construction.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"37 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":"125324702","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
SIFT algorithm analysis and optimization SIFT算法分析与优化
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476084
Zhu Daixian
{"title":"SIFT algorithm analysis and optimization","authors":"Zhu Daixian","doi":"10.1109/IASP.2010.5476084","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476084","url":null,"abstract":"Due to good invariance of scale, rotation, illumination, SIFT (Scale Invariant Feature Transform) descriptor is commonly used in image matching. The steps of extracting SIFT feature are analyzed in detail, and SIFT Key-point location is optimized. The Chamfer distance is used in this article; it decreases computation time and improves the accuracy of image matching. The experimental results show that the algorithm can reduce time complexity and maintain robust quality at the same time.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"9 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":"125404111","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
Small target detection in SAR image using the Alpha-stable distribution model 基于α稳定分布模型的SAR图像小目标检测
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476160
Jia Xu, Wei Han, Xiufeng He, Ren-xi Chen
{"title":"Small target detection in SAR image using the Alpha-stable distribution model","authors":"Jia Xu, Wei Han, Xiufeng He, Ren-xi Chen","doi":"10.1109/IASP.2010.5476160","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476160","url":null,"abstract":"The Constant False Alarm Rate (CFAR) algorithm is most commonly used for small target detection in SAR images. As the goodness-of-fit of distribution model to SAR clutter has great effect on the performance of algorithm, after a comprehensive statistical analysis of background clutters of different SAR data, a modified CFAR algorithm based on the Alpha-stable distribution is proposed for detecting small targets in SAR images, especially under the extremely inhomogeneous background clutter. Considering for the complexity of Alpha-stable distribution model, the parameter estimation and threshold determining steps of the modified algorithm are introduced in detail. Performance of the algorithm is assessed by experiments on ADTS data. Compared with typical two-parameter CFAR (TP-CFAR) algorithm based on Gaussian distribution and K-CFAR algorithm based on K distribution, the proposed method is demonstrated to be most suitable for detecting small target in extremely inhomogeneous regions.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"57 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":"126629985","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
An improved RHT algorithm to detect line segments 一种改进的RHT线段检测算法
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476086
Bo Dai, Ye Pan, Hui Liu, Dan Shi, Shixin Sun
{"title":"An improved RHT algorithm to detect line segments","authors":"Bo Dai, Ye Pan, Hui Liu, Dan Shi, Shixin Sun","doi":"10.1109/IASP.2010.5476086","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476086","url":null,"abstract":"Line segment detection is widely used in image process and recognition field. Conventional Hough Transform (CHT) is one of the popular techniques to detect lines accurately. Randomized Hough Transform (RHT) decreases the huge computation of CHT, but the random samples produce large invalid samples, so it increases the time and space complexities. Another disadvantage of RHT is that some important line properties, such as line length, the start and end positions of the detected line, can not be gotten directly. This paper proposes an improved RHT algorithm to decrease the invalid samples by finding the relation between the improved chain code direction and line points. The neighbour point distances are computed to segment lines so as to retrieve the line length and positions. Experiment showed this improved algorithm can detect and locate the line segments faster and more precise than RHT in the Cartesian coordinate system, especially for the noisy-image and complicated image with lots of connected regions.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"342 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":"122752779","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
A new method to distinguish between irrigated dry land and rain-fed dry land using multi-temporal MODIS and ancillary data: An application example in China 利用多时相MODIS及其辅助数据识别旱地与灌溉地的新方法——以中国为例
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476091
Tingting Dong, Zhenying Wang
{"title":"A new method to distinguish between irrigated dry land and rain-fed dry land using multi-temporal MODIS and ancillary data: An application example in China","authors":"Tingting Dong, Zhenying Wang","doi":"10.1109/IASP.2010.5476091","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476091","url":null,"abstract":"Accurate information on the extent of irrigated dry land and rain-fed dry land is fundamental to many aspects of human existence and agricultural water resource sustainable development. This paper proposes a new method for distinguishing between irrigated dry land and rain-fed dry land. It chooses three kinds of classification features which are Fourier components feature, fractal texture feature and terrain feature and then uses classification algorithm called GA optimized BP-ANN. Results show that the method this paper proposed is feasible and the accuracy of this result is much higher than others such as USGS's and IWMI's.","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":"122543405","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
Comparative analysis of various Matrix Pencil methods for direction of arrival estimation 各种矩阵笔法到达方向估计的比较分析
2010 International Conference on Image Analysis and Signal Processing Pub Date : 2010-04-09 DOI: 10.1109/IASP.2010.5476066
M. Faisal Khan, M. Tufail
{"title":"Comparative analysis of various Matrix Pencil methods for direction of arrival estimation","authors":"M. Faisal Khan, M. Tufail","doi":"10.1109/IASP.2010.5476066","DOIUrl":"https://doi.org/10.1109/IASP.2010.5476066","url":null,"abstract":"The Matrix Pencil (MP) method is a direct data domain method that can be used to estimate direction of arrivals (DOA) of coherent or non-coherent signals from a single snapshot of a uniform linear array (ULA). Recently, many variants of MP method have been proposed including Unitary Matrix Pencil (UMP), Single invariance Beamspace Matrix Pencil (SBMP) and Multiple invariance Beamspace Matrix Pencil(MBMP) methods. The main objective of this paper is to compare these algorithms with respect to computational complexity and estimation accuracy. It is shown through computer simulations that although all these methods give comparable performance in terms of average root mean square error of estimated DOA, there is a significant difference in their computational complexity.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"10 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":"128557388","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
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