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Coke deposition detection through the analysis of catalyst images 通过分析催化剂图像来检测积炭
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294462
Jingqiong Zhang, Wenbiao Zhang, Yong Yan
{"title":"Coke deposition detection through the analysis of catalyst images","authors":"Jingqiong Zhang, Wenbiao Zhang, Yong Yan","doi":"10.1109/IST.2015.7294462","DOIUrl":"https://doi.org/10.1109/IST.2015.7294462","url":null,"abstract":"Coke deposition on catalyst will not only reduce catalytic activity and selectivity, but also affect the product yield, the reaction residence time, the regenerator temperature and so on. As a result, it is necessary to measure the amount of coke deposition on catalyst. This paper proposes a new method based on image analysis. An image acquisition system consisting of a flatbed scanner and an opaque cover is used to obtain catalyst images. After imaging processing and analysis, the gray layer is selected to be the most effective colour layer for colour features extraction based on a discriminability index, D. Eight colour features (mean, variance, skewness, entropy, energy, H, S, V) are extracted from images with a good ability to classify the catalysts with different coke amount. Furthermore, the results show that there is a significant linear correlation between the H value and amount of coke deposition on catalyst, which could reflect the coke deposited state and coking progress effectively.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"83 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889738","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
Prostate segmentation in CT data using active shape model built by HoG and non-rigid Iterative Closest Point registration 利用HoG建立的主动形状模型和非刚性迭代最近点配准对CT数据进行前列腺分割
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294520
A. Skalski, Artur Kos, T. Zielinski, P. Kedzierawski, P. Kukołowicz
{"title":"Prostate segmentation in CT data using active shape model built by HoG and non-rigid Iterative Closest Point registration","authors":"A. Skalski, Artur Kos, T. Zielinski, P. Kedzierawski, P. Kukołowicz","doi":"10.1109/IST.2015.7294520","DOIUrl":"https://doi.org/10.1109/IST.2015.7294520","url":null,"abstract":"In the paper a new method for prostate segmentation in computed tomography (CT) data is proposed. In the proposed approach, first, corresponding points of training data sets are found using point clouds generation by Marching Cubes algorithm and non-rigid Iterative Closest Points registration. After that, having the corresponding points available, the statistical model of the prostate is built by the Active Shape Model (ASM). As a feature vector histogram of image gradient (HoG) is utilized. Finally, the ASM is used once more for the target prostate segmentation: the statistical prostate model is fitted to the CT data. Efficiency of the proposed segmentation algorithm is validated using the Dice coefficient reaching the value 0.807 with standard deviation 0.045. The method can cope with data anisotropy.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128391463","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
Through-the-wall human sensing based on change detection 基于变化检测的穿透式人体感知
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294513
N. S. N. Anwar, M. Abdullah
{"title":"Through-the-wall human sensing based on change detection","authors":"N. S. N. Anwar, M. Abdullah","doi":"10.1109/IST.2015.7294513","DOIUrl":"https://doi.org/10.1109/IST.2015.7294513","url":null,"abstract":"The ability to sense the presence of human through visually obscure barriers can be useful in many critical missions like the search and rescue operation. Due to the nature of a human target which regularly moves, theoretically the Change Detection (CD) principle can be employed for detection. Experiments were performed in the controlled environment utilizing 10 cm thick brick wall in order to validate this theory. It was discovered that the CD scheme in combination with DAS based beamformer is sensitive to changes due to position, postural and breathing. It is also possible to differentiate between a sitting and standing target from the images in the vertical plane.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129017843","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
Detection of macular whitening and retinal hemorrhages for diagnosis of malarial retinopathy 黄斑增白及视网膜出血检测对疟疾视网膜病变的诊断价值
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294515
Asra Ashraf, M. Akram, S. A. Sheikh, Sarmad Abbas
{"title":"Detection of macular whitening and retinal hemorrhages for diagnosis of malarial retinopathy","authors":"Asra Ashraf, M. Akram, S. A. Sheikh, Sarmad Abbas","doi":"10.1109/IST.2015.7294515","DOIUrl":"https://doi.org/10.1109/IST.2015.7294515","url":null,"abstract":"Retinopathy deals with the abnormalities associated with human retina. Retinal whitening and hemorrhages are the most common lesions present in the image. Furthermore presence or retinal whitening in macular region contributes to vision loss. An automated system based on image processing an machine learning tools have been used for early detection of hemorrhages and whitening to prevent from other severe disease and vision loss. For the detection of retinal whitening, white regions are localized first than a set of features is extracted out of which most relevant are used for classification. The hemorrhages are detected by applying illumination equalization following with the segmentation of hemorrhages and vessels, the small false regions are removed to accurately detect hemorrhages. The proposed system achieves an average accuracy of 90% and 97.3% for retinal whitening and hemorrhages respectively.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130456265","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
Sensitivity matrix construction based on ultrasound modulation for electrical resistance tomography 基于超声调制的电阻层析成像灵敏度矩阵构建
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294530
Xizi Song, Yanbin Xu, F. Dong
{"title":"Sensitivity matrix construction based on ultrasound modulation for electrical resistance tomography","authors":"Xizi Song, Yanbin Xu, F. Dong","doi":"10.1109/IST.2015.7294530","DOIUrl":"https://doi.org/10.1109/IST.2015.7294530","url":null,"abstract":"Image reconstruction of electrical resistance tomography (ERT) is an inherently nonlinear inverse problem. Sensitivity matrix is widely adopted to make this inverse problem to be a linear one. Usually, the sensitivity matrix employed is calculated under a uniform conductivity distribution. However, it is different from the sensitivity matrix of the measured object with inclusions, and the difference between them affects the quality of reconstructed image. Aiming at improving the resolution of reconstructed images, a novel way of constructing the sensitivity matrix is proposed based on ultrasound modulation. With focused ultrasound perturbing the measured object, the conductivity in each focal region will be altered according to the acousto-electric effect. Measuring the boundary voltage change with the corresponding change of the conductivity, then the sensitivity matrix of the measured object will be approximately constructed. The sensitivity matrices constructed based on the ultrasound modulation and on the Geselowitz's sensitivity theorem are presented and analyzed. With the proposed construction method, sensitivity matrix is more sensitive to the inclusion, even in the center of the measured object. Besides, image reconstruction is carried out by sensitivity algorithm using these two kinds of sensitivity matrix. Simulation results indicate that the reconstructed images with higher quality can be obtained with sensitivity matrix constructed based on the ultrasound modulation.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125485552","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
Licence plate images deblurring with binarization threshold 基于二值化阈值的车牌图像去模糊
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294571
Jin Fang, Yule Yuan, Wei Ji, Peijun Tang, Yong Zhao
{"title":"Licence plate images deblurring with binarization threshold","authors":"Jin Fang, Yule Yuan, Wei Ji, Peijun Tang, Yong Zhao","doi":"10.1109/IST.2015.7294571","DOIUrl":"https://doi.org/10.1109/IST.2015.7294571","url":null,"abstract":"The principal purpose of this paper is to develop a new method to deblur licence plate images. The statistical analyses of plate images we have performed enable us to believe that the binarization threshold is a reasonable parameter to distinguish blurred plate images from clean ones. Our approach defines a new regularization term which includes both intensity and gradient priors, and gives an effective and convergent solution. A large number of experiments on real-world plate images dataset have been conducted by using different algorithms. Comparing with other representative deblur algorithms, the method we proposed yields higher quality results. Moreover, further experiments are carried out to apply our algorithm to non-plate blurred images, such as composite images, saturated images and other common images. The results demonstrate the our method has a state-of-the-art performance on both document and non-document images.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123238747","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
Automatic detection of concealed pistols using passive millimeter wave imaging 使用被动毫米波成像自动检测隐藏手枪
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294538
Zelong Xiao, Xuan Lu, Jiangjiang Yan, Li Wu, Luyao Ren
{"title":"Automatic detection of concealed pistols using passive millimeter wave imaging","authors":"Zelong Xiao, Xuan Lu, Jiangjiang Yan, Li Wu, Luyao Ren","doi":"10.1109/IST.2015.7294538","DOIUrl":"https://doi.org/10.1109/IST.2015.7294538","url":null,"abstract":"A method is proposed for automatic detection of the concealed pistols detected by passive millimeter in security applications. In this paper, we extend four half-surrounded Haar-like features and use integral image to rapidly calculate the rectangle features. Then we obtain a multi-layer classifier cascaded by several strong classifiers using AdaBoost algorithm to detect the contraband. Various passive millimeter images from both published literatures and our own measurements are used for training and testing. The experimental results show that the metallic pistols in different sizes, shapes, and angles can be accurately detected, so this method is useful for automatic detection of pistols.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125719723","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
Coefficients training methods for image and video quality measures 图像和视频质量度量的系数训练方法
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294562
Chen Gao, K. Panetta, S. Agaian
{"title":"Coefficients training methods for image and video quality measures","authors":"Chen Gao, K. Panetta, S. Agaian","doi":"10.1109/IST.2015.7294562","DOIUrl":"https://doi.org/10.1109/IST.2015.7294562","url":null,"abstract":"Combining multiple color image attribute measures by linear addition has been shown to be an effective method in evaluating color image and video quality. Therefore, appropriate selection of the linear combination coefficients determines the performance of the image quality measure. In this paper, training methods of obtaining the linear combination coefficients are discussed for two practical applications: (1) for image processing applications where images before and after processing have the same source; and (2) for video processing purpose where consecutive frames have different contents and suffer from different types of distortions. With the obtained linear combination coefficients, the overall image quality measure Color Quality Measure (CQM) is shown to be effective in benchmarking the qualities of images and video frames in terms that it has high correlations with subjective evaluation Mean Opinion Scores (MOS).","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116604784","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 analysis method of deformation accuracy for spaceborne PS-DInSAR 星载PS-DInSAR变形精度分析新方法
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294465
Song Chen, Jianlong Li, Huaping Xu, Wei Li, Chunsheng Li
{"title":"A novel analysis method of deformation accuracy for spaceborne PS-DInSAR","authors":"Song Chen, Jianlong Li, Huaping Xu, Wei Li, Chunsheng Li","doi":"10.1109/IST.2015.7294465","DOIUrl":"https://doi.org/10.1109/IST.2015.7294465","url":null,"abstract":"Spaceborne PS-DInSAR is an advanced remote sensing technology for achiving global surface deformation measurement, it has a series of advantages such as all time and weather, low cost, high deformation accuracy and so on. This paper focuses on the deformation accuracy of PS-DInSAR. Based on basic principle of spaceborne DInSAR, this paper introduces the principle of PS-DInSAR, and sets up the mathematical model of PS-DInSAR deformation accuracy, deduces the accuracy model of PS-DInSAR deformation detection by a novel method. Besides, PS-DInSAR deformation accuracy is analyzed by simulation. The research of this paper has guiding significance for the analysis of spaceborne PS-DInSAR overall performance.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129230109","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
Development of 36M-pixel micro-CT using digital single-lens reflex camera 36m像素数码单反相机微型ct的研制
2015 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2015-10-08 DOI: 10.1109/IST.2015.7294461
K. Umetani, Y. Kawata, N. Niki, H. Itoh
{"title":"Development of 36M-pixel micro-CT using digital single-lens reflex camera","authors":"K. Umetani, Y. Kawata, N. Niki, H. Itoh","doi":"10.1109/IST.2015.7294461","DOIUrl":"https://doi.org/10.1109/IST.2015.7294461","url":null,"abstract":"A high-resolution, large field-of-view micro-CT system is indispensable for the visualization of fine three-dimensional (3-D) structures of large human lung specimens. It drastically increases the overall number of detector pixels. At the SPring-8 synchrotron radiation facility, a micro-CT system based on a 10M-pixel CCD camera was developed over a decade ago for 3-D specimen imaging of centimeter-sized objects with approximately 7 μm spatial resolution and a field of view of 23.6 mm width × 15.5 mm height. Recent studies require higher spatial resolution and wider field-of-view systems. Detectors with a spatial resolution of around 5 μm can visualize capillaries in the lung specimens. Accordingly, a wide field-of-view micro-CT system with spatial resolution of about 5 μm is under development using a 36M-pixel digital single-lens reflex camera, for 3-D microstructural analysis of the pulmonary lobular anatomy to quantitatively describe relation between the architectures and abnormalities.","PeriodicalId":186466,"journal":{"name":"2015 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128078548","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
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