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CiiT international journal of digital image processing最新文献

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Multitaper spectral estimator based on a cost minimization approach 基于成本最小化方法的多锥度谱估计
CiiT international journal of digital image processing Pub Date : 2015-07-07 DOI: 10.1117/12.2197855
Bo Yan, Haifen Yang, Liang Zhou
{"title":"Multitaper spectral estimator based on a cost minimization approach","authors":"Bo Yan, Haifen Yang, Liang Zhou","doi":"10.1117/12.2197855","DOIUrl":"https://doi.org/10.1117/12.2197855","url":null,"abstract":"A multitaper spectral analysis approach is built based on the minimization of cost function. The performance analysis indicates that this approach has comparative bias and variance as the approach of discrete prolate spheroidal sequence estimator. Compared with the DPSS, instead of solving the problem of matrix eigenvalues, the multitaper here needs less calculation with analytical expression of tapers. The validity of the estimator is verified by the computer simulation of an AR progress discrete as well as a white noise sequence..","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134340850","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 robust global linear method for structure from motion 基于运动的结构鲁棒全局线性方法
CiiT international journal of digital image processing Pub Date : 2015-07-07 DOI: 10.1117/12.2197853
Jia Lin
{"title":"A robust global linear method for structure from motion","authors":"Jia Lin","doi":"10.1117/12.2197853","DOIUrl":"https://doi.org/10.1117/12.2197853","url":null,"abstract":"A technique for building consistent 3D reconstructions from unordered large image sets based on a global linear method is presented. When views are treated incrementally, this external calibration can be subjected to drift, contrary to global methods that distribute residual errors evenly. We propose a combined global linear method based on computing consistent measurements in three views. First, all global camera rotations are computed from relative rotation estimates of pairwise image matches. Second, we minimize an approximate geometric error and projection error of feature points to find a linear relationship in camera triplets. This step can efficiently remove incorrect triplets which is very important for global reconstruction. Third, these triplets can be directly scaled up to register multiple cameras which can serve as a good initialization for final bundle adjustment. The performance of the proposed method is tested on several well-known image sets and the result is accurate and robust.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116264259","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
Statistical process control based chart for information systems security 基于统计过程控制的信息系统安全图表
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197092
Mansoor S. Khan, L. Cui
{"title":"Statistical process control based chart for information systems security","authors":"Mansoor S. Khan, L. Cui","doi":"10.1117/12.2197092","DOIUrl":"https://doi.org/10.1117/12.2197092","url":null,"abstract":"Intrusion detection systems have a highly significant role in securing computer networks and information systems. To assure the reliability and quality of computer networks and information systems, it is highly desirable to develop techniques that detect intrusions into information systems. We put forward the concept of statistical process control (SPC) in computer networks and information systems intrusions. In this article we propose exponentially weighted moving average (EWMA) type quality monitoring scheme. Our proposed scheme has only one parameter which differentiates it from the past versions. We construct the control limits for the proposed scheme and investigate their effectiveness. We provide an industrial example for the sake of clarity for practitioner. We give comparison of the proposed scheme with EWMA schemes and p chart; finally we provide some recommendations for the future work.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"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":"115375905","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 Iterative algorithm to text segmentation for web born-digital images 基于迭代算法的网页数字图像文本分割
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197039
Zhigang Xu, Yuesheng Zhu, Ziqiang Sun, Z. Liu
{"title":"A novel Iterative algorithm to text segmentation for web born-digital images","authors":"Zhigang Xu, Yuesheng Zhu, Ziqiang Sun, Z. Liu","doi":"10.1117/12.2197039","DOIUrl":"https://doi.org/10.1117/12.2197039","url":null,"abstract":"Since web born-digital images have low resolution and dense text atoms, text region over-merging and miss detection are still two open issues to be addressed. In this paper a novel iterative algorithm is proposed to locate and segment text regions. In each iteration, the candidate text regions are generated by detecting Maximally Stable Extremal Region (MSER) with diminishing thresholds, and categorized into different groups based on a new similarity graph, and the texted region groups are identified by applying several features and rules. With our proposed overlap checking method the final well-segmented text regions are selected from these groups in all iterations. Experiments have been carried out on the web born-digital image datasets used for robust reading competition in ICDAR 2011 and 2013, and the results demonstrate that our proposed scheme can significantly reduce both the number of over-merge regions and the lost rate of target atoms, and the overall performance outperforms the best compared with the methods shown in the two competitions in term of recall rate and f-score at the cost of slightly higher computational complexity.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"25 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":"126083873","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
SAR raw data compression based on geometric characteristic of Gaussian curve 基于高斯曲线几何特征的SAR原始数据压缩
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2196919
Juan-ni Liu, Quan Zhou
{"title":"SAR raw data compression based on geometric characteristic of Gaussian curve","authors":"Juan-ni Liu, Quan Zhou","doi":"10.1117/12.2196919","DOIUrl":"https://doi.org/10.1117/12.2196919","url":null,"abstract":"Because of simple and good performance, the block adaptive quantization (BAQ) algorithm becomes a popular method for spaceborne synthetic aperture radar (SAR) raw data compression. As the distribution of SAR data can be accurately modeled as Gaussian, the algorithm adaptively quantizes the SAR data using Llyod-Max quantizer, which is optimal for standard Gaussian signal. However, due to the complexity of the imaging target features, the probability distribution function of some SAR data deviates from the Gaussian distribution, so the BAQ compression performance declined. In view of this situation, this paper proposes a method to judge whether the data satisfies Gaussian distribution by using the geometrical relationship between standard Gaussian curve and a triangle whose area is equal to that of the Gaussian curve, then getting the coordinates of the intersection of two curves, and comparing the integral value within each node to form three judgment conditions. Finally, the data satisfying these conditions is compressed by BAQ, otherwise compressed by DPCM. Experimental results indicate that the proposed scheme improves the performance compared with BAQ method.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"34 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":"125593314","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 acquisitions, processing and analysis in the process of obtaining characteristics of horse navicular bone 获取马舟骨特征过程中的图像采集、处理与分析
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2196922
M. Zaborowicz, J. Włodarek, A. Przybylak, K. Przybył, D. Wojcieszak, W. Czekała, A. Ludwiczak, P. Boniecki, K. Koszela, J. Przybył, J. Skwarcz
{"title":"Image acquisitions, processing and analysis in the process of obtaining characteristics of horse navicular bone","authors":"M. Zaborowicz, J. Włodarek, A. Przybylak, K. Przybył, D. Wojcieszak, W. Czekała, A. Ludwiczak, P. Boniecki, K. Koszela, J. Przybył, J. Skwarcz","doi":"10.1117/12.2196922","DOIUrl":"https://doi.org/10.1117/12.2196922","url":null,"abstract":"The aim of this study was investigate the possibility of using methods of computer image analysis for the assessment and classification of morphological variability and the state of health of horse navicular bone. Assumption was that the classification based on information contained in the graphical form two-dimensional digital images of navicular bone and information of horse health. The first step in the research was define the classes of analyzed bones, and then using methods of computer image analysis for obtaining characteristics from these images. This characteristics were correlated with data concerning the animal, such as: side of hooves, number of navicular syndrome (scale 0-3), type, sex, age, weight, information about lace, information about heel. This paper shows the introduction to the study of use the neural image analysis in the diagnosis of navicular bone syndrome. Prepared method can provide an introduction to the study of non-invasive way to assess the condition of the horse navicular bone.","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":"121997519","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: 21
A passive technique for detecting copy-move forgery with rotation based on polar complex exponential transform 一种基于极坐标复指数变换的旋转复制移动伪造被动检测技术
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2196997
M. Emam, Q. Han, Liyang Yu, Ye Zhang, X. Niu
{"title":"A passive technique for detecting copy-move forgery with rotation based on polar complex exponential transform","authors":"M. Emam, Q. Han, Liyang Yu, Ye Zhang, X. Niu","doi":"10.1117/12.2196997","DOIUrl":"https://doi.org/10.1117/12.2196997","url":null,"abstract":"Copy-move is one of the most common methods for image manipulation. Several methods have been proposed to detect and locate the tampered regions, while many methods failed when the copied regions are rotated before being pasted. A rotational invariant detecting method using Polar Complex Exponential Transform (PCET) is proposed in this paper. Firstly, the original image is divided into overlapping circular blocks, and PCET is employed to each block to extract the rotation-invariant robust features. Secondly, the Approximate Nearest Neighbors (ANN) of each feature vector are collected by Locality Sensitive Hashing (LSH). Experimental results show that the proposed technique is robust to rotation.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"125 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":"132492469","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
Use of neural image analysis methods in the process to determine the dry matter content in the compost 利用神经图像分析方法在堆肥过程中测定干物质含量
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197035
D. Wojcieszak, J. Przybył, A. Lewicki, A. Ludwiczak, A. Przybylak, P. Boniecki, K. Koszela, M. Zaborowicz, K. Przybył, K. Witaszek
{"title":"Use of neural image analysis methods in the process to determine the dry matter content in the compost","authors":"D. Wojcieszak, J. Przybył, A. Lewicki, A. Ludwiczak, A. Przybylak, P. Boniecki, K. Koszela, M. Zaborowicz, K. Przybył, K. Witaszek","doi":"10.1117/12.2197035","DOIUrl":"https://doi.org/10.1117/12.2197035","url":null,"abstract":"The aim of this research was investigate the possibility of using methods of computer image analysis and artificial neural networks for to assess the amount of dry matter in the tested compost samples. The research lead to the conclusion that the neural image analysis may be a useful tool in determining the quantity of dry matter in the compost. Generated neural model may be the beginning of research into the use of neural image analysis assess the content of dry matter and other constituents of compost. The presented model RBF 19:19-2-1:1 characterized by test error 0.092189 may be more efficient.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"6 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":"131245868","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: 31
Improved image de-noising algorithm based on the direction of diffusion 改进的基于扩散方向的图像去噪算法
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197077
L. Fan, Qiang Li, Youguo He, Feng Wang
{"title":"Improved image de-noising algorithm based on the direction of diffusion","authors":"L. Fan, Qiang Li, Youguo He, Feng Wang","doi":"10.1117/12.2197077","DOIUrl":"https://doi.org/10.1117/12.2197077","url":null,"abstract":"De-noising is a classic problem in image processing, however, keep the image edges and details characteristics and de-noising is a contradiction of the relationship. Based on this defect, in this paper, the curvature and gradient are introduced to improve the operator of direction diffusion, which is able to remove the noise t also makes a good save edge features and details of the role, inhibit noise isolation at the same time. Experimental results show that the image de-noising methods can have good results.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"77 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120824898","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
Image thresholding based on Adjusted Rand Index 基于调整后Rand指数的图像阈值分割
CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197014
Lulu Fang, Yaobin Zou, Fangmin Dong, B. Lei, Shuifa Sun
{"title":"Image thresholding based on Adjusted Rand Index","authors":"Lulu Fang, Yaobin Zou, Fangmin Dong, B. Lei, Shuifa Sun","doi":"10.1117/12.2197014","DOIUrl":"https://doi.org/10.1117/12.2197014","url":null,"abstract":"This paper proposes a new image thresholding method by integrating Multi-scale Gradient Multiplication (MGM) transformation and Adjusted Rand Index (ARI). The proposed method evaluates the optimal threshold by computing the accumulation similarity between two image collections from the perspective of global spatial attributes of images. One of the image collections are obtained by binarizing the original gray level image with each possible gray level. The others are the reference images, produced by binarizing MGM image. The MGM image is the result of applying MGM transformation to the original image. ARI is a similarity measurement in statistics, particularly in data clustering, which can be readily computed based on two image matrices. To be more accurate, the optimal threshold is determined by maximizing the accumulation similarity of ARI. Comparisons with three well established thresholding methods are depicted for numbers of real-world images. Experiment results demonstrate the effectiveness and robustness of the proposed method.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"63 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":"124414328","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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