{"title":"Feature detection and visualization of ocean flow field sources, sinks based on vector field decomposition","authors":"Xiaofen Chen, Cui Xie, Zhiqiang Wei","doi":"10.1109/IASP.2009.5054628","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054628","url":null,"abstract":"This paper provides a novel and efficient technique to detect and visualize the important features of ocean- sources and sinks. First, based on K. Polthier's decomposition algorithm, the flow field is decomposed to detect critical points of sources and sinks. Then a novel method is proposed that detects periodic orbits and separatrices by considering attachment and seperation points. Last, a new systematic technique is represented based on vector field topology and color mapping to generate streamlines and highlight important features of ocean-sources and sinks. Furthermore, the application of vector field visualization algorithms are described to Bohai Sea data to demonstrate its utility.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124377838","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}
{"title":"Image processing using spatial transform","authors":"Yuhong Zhang","doi":"10.1109/IASP.2009.5054663","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054663","url":null,"abstract":"This paper deals with image processing using spatial (geometric) transforms such as translation, rotation, and scaling, shearing, and projective transform. These transforms can be used for image correction. Translation, rotation, and scaling transform are also called affine transform which is a subset of projective transform. All the methods are given experimental results implemented in Matlab.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132379326","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}
{"title":"The automatic registration between high resolution satellite images and a vector map based on RFM","authors":"Songbai Zou, Jianqing Zhang, Yong Zhang","doi":"10.1109/IASP.2009.5054632","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054632","url":null,"abstract":"This paper focuses on the automatic registration and precise positioning of high-resolution satellite images and a vector map utilizing the RPC. First, the general RFM is introduced for high-resolution satellite images, and then the methods to compensate for systemic errors of these models are stated. Experiments with SPOT-5 images are analyzed and suggest the automatic registration of high-resolution satellite images and a vector map is feasible, and the positioning precision satisfies the surveying requirements of small or medium-scale topographical maps.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"56 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133280560","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}
{"title":"Double factors algorithm for computing DFT","authors":"Haijun Li, Caojun Yan, Wenbiao Peng","doi":"10.1109/IASP.2009.5054641","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054641","url":null,"abstract":"A fast Fourier transform algorithm for computing N=N<inf>1</inf>×N<inf>2</inf>-point DFT, where both factors N<inf>1</inf> and N<inf>2</inf> are smaller positive integer, said to be a double factors algorithm(DFA), is developed. The DFA subdivides a DFT of length N=N<inf>1</inf>×N<inf>2</inf> into smaller transforms of length N<inf>1</inf> and N<inf>2</inf> and takes the following steps:(1) computes N<inf>1</inf> N<inf>2</inf>-point DFTs , (2) multiplies the values of DFT by twiddle factors, (3) computes N<inf>2</inf> N<inf>1</inf>-point DFTs. The structure of the DFA is similar to those of the most simple PFA and WFTA, but N<inf>1</inf> and N<inf>2</inf> are not necessarily relatively prime. When N=2<sup>M</sup> or 4<sup>M</sup>, the total number of computations of DFT in the DFA is less than those in the radix-2 and radix-4 FFT algorithm but slightly more than that in the split-radix FFT algorithm. When N is other values, the total number of computations of DFT in the DFA is less than those in the PFA and WFTA.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133476348","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}
{"title":"Eye detection based on multi-angle template matching","authors":"Wang Jian, Zhao Honglian","doi":"10.1109/IASP.2009.5054608","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054608","url":null,"abstract":"An eye detection algorithm from facial image based on multi-angle template is described in this paper. First, we get the face region using skin-color model, then we extract the edge of face region. After that, we can obtain the eye candidate regions with morphological opening and closing operations and symmetrical characteristics of the eyes. At last, we can accurately locate the position of eyes by multi-angle template matching. The experimental results show the effectiveness and the robustness of this algorithm.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114199551","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}
{"title":"Frequency offset estimation based on virtual carrier in OFDM system","authors":"Yuefen Chen","doi":"10.1109/IASP.2009.5054615","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054615","url":null,"abstract":"Sensitivity to carrier frequency offset (CFO) is one of the main drawbacks in OFDM system. This paper focuses on the CFO estimation algorithm based on virtual carrier (VC), and proposes a method on how to choose VCs reasonably in order to both estimate the CFO correctly and reduce the amount of calculation. Simulation results based on Matlab have verified the validation.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125132648","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}
{"title":"Application of Principal Component Extraction technique in processing cloud images from Chinese FY-1 satellite","authors":"Zhenhui Wang, Xiaofang Pei","doi":"10.1109/IASP.2009.5054569","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054569","url":null,"abstract":"Principal Component Extraction technique is employed to process cloud images from 10-channel radiometer onboard the Chinese FY-1 polar-orbiting meteorological satellites. The results suggest that the consensus technique can concentrate the prominent distribution features of the grey shades of the targets, including clouds, landform and oceans shown on the 10 channel images into a single image which can be then used as a background image in further synoptic system analysis and weather map overlapping.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125551892","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}
{"title":"Timbre model of software musical instrument based on sine interpolation","authors":"Xi-zheng Cao, Hui-li Meng, Jiu-cheng Xu","doi":"10.1109/IASP.2009.5054598","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054598","url":null,"abstract":"This paper presents a model to adjust timbre of software musical instrument by changing timbre parameters. The model is based on sine interpolation. It includes two sub models, vibration and amplitude envelope. To reflect the frequency spectrum, the model provides several parameters: offset coefficient, amplitude coefficient and frequency coefficient. The corresponding frequency spectrum of each parameter combination is obtained using DCT in VC++ environment. The relationship between parameters and timbres is found, by analyzing how parameters affect frequency spectrums. The results show that increasing offset coefficient and amplitude coefficient or reducing frequency coefficient can enhance the high frequency sections; thus instrument timbre is bright while contrarily timbre is faint. Compared with the technology of hardware-oriented timbre composition, this software method is flexible, revisable, and its cost is low.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"11 16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115217821","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}
{"title":"A joint source channel coding applied to video for sequences of images","authors":"Wang Shan","doi":"10.1109/IASP.2009.5054631","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054631","url":null,"abstract":"This paper presents a joint source channel coding designed for video (sequences of images) transmission application. The aim is to improve the visual quality of the reconstructed video, even when transmission errors occur, and to keep the processing as simple as possible. The BER excepted is higher than 10−4. This coding is based on an association of a wavelet transform (WT) and a vector quantization (VQ). The whole transmission chain is jointly exploited in order to make it well-adapted to the complex and low data rate channel.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129432263","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}
{"title":"Research and realization of automatic test system for ADC based on Matlab","authors":"Zhou Juan, Jiang Deng-feng, Liu Fangyu","doi":"10.1109/IASP.2009.5054654","DOIUrl":"https://doi.org/10.1109/IASP.2009.5054654","url":null,"abstract":"Dynamic specifications for ADCs are very important in high-speed applications such as digital communications, ultrasound imaging, instrumentation, and IF digitization. How to measure dynamic and static parameters of ADC accurately and efficiently is most crucial for high-speed data converters. The ADC static and dynamic parameters testing theory is presented, and a description of the hardware environment and software system is given in detail. Measurement using FFT based on Matlab is also discussed. This system has been applied to test the ADC of SCM530101 from Silan Microelectronics Ltd.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127200990","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}