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CiiT international journal of digital image processing最新文献

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An adaptive method to detect weak signal utilizing duffing oscillator 一种利用duffing振荡器检测微弱信号的自适应方法
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197174
Shuo Shi, Tenghu Guo, Xuemai Gu
{"title":"An adaptive method to detect weak signal utilizing duffing oscillator","authors":"Shuo Shi, Tenghu Guo, Xuemai Gu","doi":"10.1117/12.2197174","DOIUrl":"https://doi.org/10.1117/12.2197174","url":null,"abstract":"At present, most of the researches set amplitude of driving force fixed when detecting weak signal buried in noise utilizing Duffing oscillator. In this paper, we find the critical value of driving force corresponding to critical state varies with noise power. Taken this into consideration, a new adaptive method to detect weak signal is proposed. In this method, the amplitude of driving force is determined by input power. The simulation results indicate that lowest threshold of SNR can be acquired in this method is lower than that in the methods proposed in most papers.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124103109","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
A review of contrast pattern based data mining 基于对比模式的数据挖掘技术综述
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197326
Shiwei Zhu, Meilong Ju, Junfeng Yu, Binlei Cai, Aiping Wang
{"title":"A review of contrast pattern based data mining","authors":"Shiwei Zhu, Meilong Ju, Junfeng Yu, Binlei Cai, Aiping Wang","doi":"10.1117/12.2197326","DOIUrl":"https://doi.org/10.1117/12.2197326","url":null,"abstract":"Contrast pattern based data mining is concerned with the mining of patterns and models that contrast two or more datasets. Contrast patterns can describe similarities or differences between the datasets. They represent strong contrast knowledge and have been shown to be very successful for constructing accurate and robust clusters and classifiers. The increasing use of contrast pattern data mining has initiated a great deal of research and development attempts in the field of data mining. A comprehensive revision on the existing contrast pattern based data mining research is given in this paper. They are generally categorized into background and representation, definitions and mining algorithms, contrast pattern based classification, clustering, and other applications, the research trends in future. The primary of this paper is to server as a glossary for interested researchers to have an overall picture on the current contrast based data mining development and identify their potential research direction to future investigation.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128544821","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
Improving MAP arithmetic decoding of H.264 intra modes using residual redundancy 利用剩余冗余改进H.264内模MAP算法解码
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2196976
H. Kourkchi, W. Lynch, M. Ahmad
{"title":"Improving MAP arithmetic decoding of H.264 intra modes using residual redundancy","authors":"H. Kourkchi, W. Lynch, M. Ahmad","doi":"10.1117/12.2196976","DOIUrl":"https://doi.org/10.1117/12.2196976","url":null,"abstract":"This paper presents an improved MAP decoder to be used for joint source-channel arithmetic decoding for H.264 symbols. The proposed decoder uses not only the intentional redundancy inserted via a forbidden symbol but also exploits residual redundancy by a syntax checker. A breadth-first suboptimal sequential MAP decoder is employed. The decoder eliminates paths in the decoding tree that result in invalid syntax or that decode a forbidden symbol. In contrast to previous methods, this is done as each channel bit is decoded. Simulations using intra prediction modes show improvements in error rates, for example, syntax element error rate reduction by an order of magnitude for channel SNR of 7.33dB. The cost of this improvement is more computational complexity spent on the syntax checking.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129583070","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
Implementation of weighted summation type fractional Fourier transform on FPGA 加权求和型分数阶傅里叶变换在FPGA上的实现
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197111
Qiming Zou, Longlong Li, Qian Huang, Fei Wang
{"title":"Implementation of weighted summation type fractional Fourier transform on FPGA","authors":"Qiming Zou, Longlong Li, Qian Huang, Fei Wang","doi":"10.1117/12.2197111","DOIUrl":"https://doi.org/10.1117/12.2197111","url":null,"abstract":"Recently Fractional Fourier transform (FrFT) has got a variety of applications in digital signal and image processing. This paper presents a novel hardware architecture for real-time computation of Discrete Fractional Fourier Transform (DFrFT), which can easily be extended to other fractional transforms. The proposed architecture has been verified on Xilinx FPGA(XC6VLX240T), which can run at a frequency up to 291MHz while with high accuracy.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130664805","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
Color constancy technology based on detail description 基于细节描述的色彩恒常性技术
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197007
Huinan Guo, Jianzhong Cao, Hui Zhang, Zuofeng Zhou
{"title":"Color constancy technology based on detail description","authors":"Huinan Guo, Jianzhong Cao, Hui Zhang, Zuofeng Zhou","doi":"10.1117/12.2197007","DOIUrl":"https://doi.org/10.1117/12.2197007","url":null,"abstract":"Color constancy is an important problem in machine vision and image processing fields. We propose a new method in this paper that is based on detail information description to estimate the chromaticity of the light source and restore the real color property of captured images. The main idea of the proposed approach is that according to human vision characteristics use the interest information in an image to estimate the lighting condition of real scene. To approve the proposed method, two well-known algorithms are selected and their contrast results are also presented. It is shown in this paper that the proposed approach performs better than other traditional methods for color constancy most of the time.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"138 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128750450","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
Emitter frequency refinement based on maximum likelihood 基于最大似然的发射极频率改进
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197103
Xin Xu, Huijuan Wang
{"title":"Emitter frequency refinement based on maximum likelihood","authors":"Xin Xu, Huijuan Wang","doi":"10.1117/12.2197103","DOIUrl":"https://doi.org/10.1117/12.2197103","url":null,"abstract":"Frequency estimation via signal sorting is widely recognized as one of the most practical technologies in signal processing. However, the estimated frequencies via signal sorting may be inaccurate and biased due to signal fluctuation under different emitter working modes, problems of transmitter circuit, environmental noises or certain unknown interference sources. Therefore, it has become an important issue to further analyze and refine signal frequencies after signal sorting. To address the above problem, we have brought forward an iterative frequency refinement method based on maximum likelihood. Iteratively, the initial estimated signal frequency values are refined. Experimental results indicate that the refined signal frequencies are more informative than the initial ones. As another advantage of our method, noises and interference sources could be filtered out simultaneously. The efficiency and flexibility enables our method to apply in a wide application area, i.e., communication, electronic reconnaissance and radar intelligence analysis.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"9631 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130073981","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
Pattern characterization and connectivity analysis for edge feature extraction 边缘特征提取的模式表征与连通性分析
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197241
Bo Jiang
{"title":"Pattern characterization and connectivity analysis for edge feature extraction","authors":"Bo Jiang","doi":"10.1117/12.2197241","DOIUrl":"https://doi.org/10.1117/12.2197241","url":null,"abstract":"The purpose of detecting sharp changes in image brightness is to capture important events and changes in properties of the world. The accuracy of edge detection methods in image processing determines the eventual success or failure of computerized analysis procedures which follow the initial edge detection determinations such as object recognition. Generally, edge detectors have been designed to capture simple ideal step functions in image data, but real image signal discontinuities deviate from this ideal form. Another three types of deviations from the step function which relate to real distortions occurring in natural images are examined according to their characteristics. These types are impulse, ramp, and sigmoid functions which respectively represent narrow line signals, simplified blur effects, and more accurate blur modeling. General rules for edge pattern characterization based upon the classification of edge types into four categories-ramp, impulse, step, and sigmoid (RISS) are developed from this analysis. Additionally, the proposed algorithm performs connectivity analysis on edge map to ensure that small, disconnected edges are removed. The performance analysis on experiments supports that the proposed edge detection algorithm with edge pattern analysis and characterization does lead to more effective edge detection and localization with improved accuracies. To expand the proposed algorithm into real-time applications, a parallel implementation on a graphics processing unit (GPU) is presented in this paper. For the various configurations in our test, the GPU implementation shows a scalable speedup as the resolution of an image increases. We also achieved 14 frames per second in real-time processing (1280×720).","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127037554","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
A novel murmur-based heart sound feature extraction technique using envelope-morphological analysis 基于包络形态学分析的心音特征提取方法
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197109
Haodong Yao, Jia-Li Ma, Binbin Fu, Hai-Yang Wang, M. Dong
{"title":"A novel murmur-based heart sound feature extraction technique using envelope-morphological analysis","authors":"Haodong Yao, Jia-Li Ma, Binbin Fu, Hai-Yang Wang, M. Dong","doi":"10.1117/12.2197109","DOIUrl":"https://doi.org/10.1117/12.2197109","url":null,"abstract":"Auscultation of heart sound (HS) signals serves as an important primary approach to diagnose cardiovascular diseases (CVDs) for centuries. Confronting the intrinsic drawbacks of traditional HS auscultation, computer-aided automatic HS auscultation based on feature extraction technique has witnessed explosive development. Yet, most existing HS feature extraction methods adopt acoustic or time-frequency features which exhibit poor relationship with diagnostic information, thus restricting the performance of further interpretation and analysis. Tackling such a bottleneck problem, this paper innovatively proposes a novel murmur-based HS feature extraction method since murmurs contain massive pathological information and are regarded as the first indications of pathological occurrences of heart valves. Adapting discrete wavelet transform (DWT) and Shannon envelope, the envelope-morphological characteristics of murmurs are obtained and three features are extracted accordingly. Validated by discriminating normal HS and 5 various abnormal HS signals with extracted features, the proposed method provides an attractive candidate in automatic HS auscultation.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127990861","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
3D face recognition algorithm of alignment and fitting 三维人脸识别的对齐与拟合算法
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197158
Yifei Wu, Yao Cheng, Nanyue Yang
{"title":"3D face recognition algorithm of alignment and fitting","authors":"Yifei Wu, Yao Cheng, Nanyue Yang","doi":"10.1117/12.2197158","DOIUrl":"https://doi.org/10.1117/12.2197158","url":null,"abstract":"For 3D face recognition area, Design a algorithm follows a morphable model approach. To align the scan with a model, ICP and spin-images are used also referred to as registration. Deformation is done by a nonrigid ICP algorithm to fit the model with the scan. From the fitted model a geometry image and a normal image is generated. The developed algorithm is tested by several measurements. From the results of these measurements, it could be concluded that the algorithm is robust and reliable.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127999583","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
Image compression based on GPU encoding 基于GPU编码的图像压缩
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197078
Zhaofeng Bai, Yuehong Qiu
{"title":"Image compression based on GPU encoding","authors":"Zhaofeng Bai, Yuehong Qiu","doi":"10.1117/12.2197078","DOIUrl":"https://doi.org/10.1117/12.2197078","url":null,"abstract":"With the rapid development of digital technology, the data increased greatly in both static image and dynamic video image. It is noticeable how to decrease the redundant data in order to save or transmit information more efficiently. So the research on image compression becomes more and more important. Using GPU to achieve higher compression ratio has superiority in interactive remote visualization. Contrast to CPU, GPU may be a good way to accelerate the image compression. Currently, GPU of NIVIDIA has evolved into the eighth generation, which increasingly dominates the high-powered general purpose computer field. This paper explains the way of GPU encoding image. Some experiment results are also presented.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121277325","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
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