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2015 8th International Congress on Image and Signal Processing (CISP)最新文献

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Introducing an open-pit mine slop stability evaluation system based on case-based reasoning 介绍了一种基于实例推理的露天矿边坡稳定性评价系统
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408133
Bahade Aierken, A. Wulamu, Ruolin Zhang
{"title":"Introducing an open-pit mine slop stability evaluation system based on case-based reasoning","authors":"Bahade Aierken, A. Wulamu, Ruolin Zhang","doi":"10.1109/CISP.2015.7408133","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408133","url":null,"abstract":"Though slope disaster management practice has accumulated a lot of success and failure of slope treatment project cases, large amounts of data information produced by these engineering cases were not been taken full advantage of therefore caused great waste of resources. Fully development and usage of large amounts of stability-known slope experience undoubtedly have important practical significance. Therefore, based on the usage of previous open-pit mine slope engineering cases, this paper proposes an intelligent slope stability evaluation system based on case-based reasoning. The system uses frame to represent store cases, uses analytic hierarchy process to determine the weight of case attribute, uses similarity calculation method based on Euclidean distance to retrieve case in order to get the result, and finally analyzes the results or reforms the case base if problems exist. Through experimental analysis, this paper proves the validity and feasibility of the system.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115870126","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 novel method to improve the quality of decoded images in fractal image coding 分形图像编码中提高解码图像质量的新方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407872
Kun Zou, Qiang Wang, Z. Zhai
{"title":"A novel method to improve the quality of decoded images in fractal image coding","authors":"Kun Zou, Qiang Wang, Z. Zhai","doi":"10.1109/CISP.2015.7407872","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407872","url":null,"abstract":"In order to improve the quality of decoded images in fractal image coding, a novel method by making use of a modified image is proposed in this paper. Since the degradation of decoded images in fractal coding mainly comes from the poor self-similarity of the input image, a modified image that satisfies good self-similarity and approximates the original image well is constructed. After transforming the input image into the modified image and performing fractal coding method on it, the decoded image with higher quality can be obtained. Simulations show that compared with the conventional fractal coding method, while the same compression ratio is maintained, the proposed method can provide higher PSNR at the expense of slightly longer encoding time.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114865747","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
An algorithm for dense correspondence based on blended intrinsic map 一种基于混合内禀映射的密集对应算法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407932
Dan Kang, Xiuyang Zhao, Zhiang Chen, Mingjun Liu
{"title":"An algorithm for dense correspondence based on blended intrinsic map","authors":"Dan Kang, Xiuyang Zhao, Zhiang Chen, Mingjun Liu","doi":"10.1109/CISP.2015.7407932","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407932","url":null,"abstract":"The dense matching of 3-D meshes is an important research topic in the field of computer vision. In this paper, we present a layered matching pipeline based on the mixed corresponding grid dense matching algorithm. Firstly, this algorithm find an intrinsic map between two non-isometric, genus zero surfaces. Secondly, we use the nature of the bottom of the measure preserving distance to released the dense corresponding of surfaces. A set of experimental results show that the proposed method achieves better approximation accuracy than the ICP method.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114955295","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
Anomaly detecting in hyperspectral imageries based on tensor decomposition with spectral and spatial partitioning 基于光谱和空间分割张量分解的高光谱图像异常检测
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407975
Xing Zhang, G. Wen, Wei Dai
{"title":"Anomaly detecting in hyperspectral imageries based on tensor decomposition with spectral and spatial partitioning","authors":"Xing Zhang, G. Wen, Wei Dai","doi":"10.1109/CISP.2015.7407975","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407975","url":null,"abstract":"Due to the multidimensional nature of the hyperspectral image (HSI), multi-way arrays (called tensor) are one of the possible solutions for analyzing such data. In tensor algebra, CANDECOMP/PARAFAC decomposition (CPD) is a popular tool which has been successfully applied for the HSI data processing. However, on the one hand, CPD requires large memory for temporal variables. As a result, the memory usually overflows during the process for a real HSI whose size is large. On the other hand, so far no finite algorithm can well-determine the rank of the tensor to be decomposed. An inappropriate number of the rank may over-fit/under-fit the information provided by the tensor. To deal with these problems, this paper proposes an improved CPD with spectral and spatial partitioning for the HSI anomaly detection. First, the original HSI is divided into a set of smaller-sized sub-tensors. Second, CPD is applied onto each sub-tensor. Then, an anomaly detection algorithm is implemented and the detection results are fused along the spectral direction. Experiments with a real HSI data set reveals that the proposed method outperforms the CPD with no partition and the traditional RX anomaly detector with better detection performance.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117071905","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
Frequency estimation with missing measurements under impulsive noise 脉冲噪声下测量缺失的频率估计
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/cisp.2015.7408107
Hongqing Liu, Dongyan Ding, Yong Li, Yi Zhou
{"title":"Frequency estimation with missing measurements under impulsive noise","authors":"Hongqing Liu, Dongyan Ding, Yong Li, Yi Zhou","doi":"10.1109/cisp.2015.7408107","DOIUrl":"https://doi.org/10.1109/cisp.2015.7408107","url":null,"abstract":"The frequency recovery problem from impulsive noise corrupted signal with missing data is considered. The main motive of this work is to explore the signal sparse property that is proven to be advantageous if it is properly utilized. To that end, first, a transformation domain, namely frequency domain, is constructed in which multiple sinusoids have a sparse representation. Second, the data missing problem is reformulated in a way that is represented by a sparse vector containing only zeros and ones. Third, thanks to the exciting finding of the nearly-sparse property of the impulsive noise in the time domain, the noise reduction can be designed as well to explore its sparsity to cancel the noise. By utilizing the sparsity from the frequency, missing pattern and impulsive noise, a joint estimation approach is designed that allows simultaneously to perform frequency and missing pattern estimation under the impulsive noise. Numerical studies demonstrate that joint estimate offers robust and consistent results compared to non-joint estimate (without noise reduction).","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123507816","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
Flow performance analysis of software defined networking based on cross entropy 基于交叉熵的软件定义网络流性能分析
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408132
Zhi-qiang Zhu, Lisha Wang, L. Xia, Shunxia Cao
{"title":"Flow performance analysis of software defined networking based on cross entropy","authors":"Zhi-qiang Zhu, Lisha Wang, L. Xia, Shunxia Cao","doi":"10.1109/CISP.2015.7408132","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408132","url":null,"abstract":"For SDN hybrid network topology, this paper builds a relationship model of SDN hybrid network flow and capacity based on cross entropy, and makes quantitative analysis and simulation about packet arrival rate normalized probability transmitted by the OpenFlow switches on the ith link. Seen from the results of the analysis, the probability can be up to 66.17%, and this arrival rate of packets can not be improved only by increasing the total cost of network operation or the average length of packet. The analysis results are of important reference for the packet arrival rate normalized probability to apply in LAN of hybrid SDN network and performance optimization.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123607927","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
Damage detection of wind turbine blade based on wavelet analysis 基于小波分析的风力发电机叶片损伤检测
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408103
Qian Zhao, Wei Li, Y. Shao, Xing-jia Yao, Haonan Tian, Jing Zhang
{"title":"Damage detection of wind turbine blade based on wavelet analysis","authors":"Qian Zhao, Wei Li, Y. Shao, Xing-jia Yao, Haonan Tian, Jing Zhang","doi":"10.1109/CISP.2015.7408103","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408103","url":null,"abstract":"The basic theory and algorithm of wavelet analysis and support vector machine (SVM) were introduced. The feature vector of the fault vibration signal of the blade in wind turbine was extracted by wavelet analysis, the feature vector was identified by SVM method further, and finally, the crack damage of the blade was judged. The results show that this method has a good effect on identification of the blade crack damage in wind turbine.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121886646","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
An automatic detection method of mura defects for liquid crystal display using real Gabor filters 一种基于Gabor滤波器的液晶显示器mura缺陷自动检测方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408000
Xin Bi, Xiaoping Xu, Jinhua Shen
{"title":"An automatic detection method of mura defects for liquid crystal display using real Gabor filters","authors":"Xin Bi, Xiaoping Xu, Jinhua Shen","doi":"10.1109/CISP.2015.7408000","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408000","url":null,"abstract":"Mura is one types of defects on liquid crystal display (LCD), it is difficult to be detected with regular image processing method. As the existing of respective textural background, the texture analysis approach is helpful. In this paper, the real Gabor filer method and its principles of parameters selecting are studied for the Mura detection. First, in the preprocessing, threshold segmentation, geometric operations and gray interpolation are carried out to pick-up the target normal direction of LCD areas. Then, the real Gabor filters are designed through selecting appropriate filtering scale and orientation, detection results show that the structurally textural backgrounds are removed. Finally, experiments show that the performances of Gabor filters are influenced by its parameters such as central frequencies and mask size. Furthermore, by using real Gabor filters instead of complex, large computational load is saved.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122034504","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: 14
Semi-supervised human-robot interactive image recognition algorithm 半监督人机交互图像识别算法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408024
Hong Zhang, P. Wu
{"title":"Semi-supervised human-robot interactive image recognition algorithm","authors":"Hong Zhang, P. Wu","doi":"10.1109/CISP.2015.7408024","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408024","url":null,"abstract":"Image semantics recognition is a long-standing research topic and has been used to many application areas, including medical diagnose, public security, etc. However, how to teach a social robot to have the intelligence to recognize images through user interactions still remains open and ambitious. In this paper we propose a novel framework of semi-supervised human-robot interactive image recognition. In our framework, the user first presents unlabeled images to a humanoid robot for recognition; then the robot answers the user what the image is based on a semi-supervised learning algorithm; thirdly if the robot's answer is wrong, the user correct the robot with the right label. With the learning process going on, the robot is trained to recognize more and more images with different semantic labels. The ability of \"learning image semantics\" makes the user feel that the robot is more like an \"intelligent life\". Extensive experiments and comparisons have proved the efficiency of our framework with encouraging results.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116999776","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
ERC — An environmental robust Camshift face tracking algorithm 环境鲁棒Camshift人脸跟踪算法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407844
Dajie Cong, Ping Shi, Yang Li
{"title":"ERC — An environmental robust Camshift face tracking algorithm","authors":"Dajie Cong, Ping Shi, Yang Li","doi":"10.1109/CISP.2015.7407844","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407844","url":null,"abstract":"The classical Camshift face tracking algorithm requires a higher environmental demand and is susceptible to the skin color interference. To solve the above problems, an improved Camshift tracking algorithm - ERC (Environmental Robust Camshift) is presented. Firstly, the RGB histogram equalization is applied in ERC to extend the hue differentiation between pixels; secondly, the statistical and spatial information are combined by using the adaptive kernel function based on the spatiogram to obtain the target tone model; finally, the tracking module in the classical Camshift algorithm is employed to realize the target tracking. The experiment results show that the ERC can achieve an effective face tracking in the case of intense illumination changes, background clutter and rapid movement.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"26 17-18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125828335","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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