2013 IEEE International Conference on Imaging Systems and Techniques (IST)最新文献_第2页

Visualization and modeling of cancer progression 癌症进展的可视化和建模

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729672

M. Papadogiorgaki, M. Zervakis

{"title":"Visualization and modeling of cancer progression","authors":"M. Papadogiorgaki, M. Zervakis","doi":"10.1109/IST.2013.6729672","DOIUrl":"https://doi.org/10.1109/IST.2013.6729672","url":null,"abstract":"Cancer mathematical modeling constitutes an emerging area of research aiming to predict tumors spatial and temporal evolution. Several mathematical and computational models have appeared in the literature addressing the mechanisms that govern tumor progression and invasion. Modeling techniques are initialized based either on the actual tumor geometries derived from imaging modalities (such as serial MRIs), or on virtual tumor approximation. Cancer modeling is performed using various tissue modeling and evolution techniques, which are generally classified as continuum, discrete and hybrid methods. This paper aims to present a comprehensive overview of tumor modeling approaches and based on significant trends to propose a continuum mathematical model of avascular glioma spatiotemporal evolution. This model takes under consideration the oxygen concentration inside the tumor and its surroundings, which is engaged in tumor-cell survival, proliferation and invasion. The tumor area is divided into layers that form proliferating, hypoxic and necrotic regions of tumor cells. The simulation results for different evolution times demonstrate that the proposed model may provide an essential framework for a patient-specific simulation tool towards the reliable prediction of glioma spatiotemporal progression.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127556330","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

Recognition of SAR image based on combined templates 基于组合模板的SAR图像识别

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729707

Liu Kaiqi, Wang Wenguang, S. Zuowei

引用次数: 1

The impact of H.264/AVC on compression and non-destructive evaluation of piston data in industrial Computed Tomography H.264/AVC对工业计算机断层成像中活塞数据压缩和无损评价的影响

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729699

Alexander Ditter, D. Fey, Tobias Schon, Maik Luxa, Roland Gruber

{"title":"The impact of H.264/AVC on compression and non-destructive evaluation of piston data in industrial Computed Tomography","authors":"Alexander Ditter, D. Fey, Tobias Schon, Maik Luxa, Roland Gruber","doi":"10.1109/IST.2013.6729699","DOIUrl":"https://doi.org/10.1109/IST.2013.6729699","url":null,"abstract":"The application of video encoding for the compression of Computed Tomography (CT) based projection images is very promising with respect to a more efficient transmission and storage of this particular type of data. Especially the use of “off-the-shelf” technologies, such as the H.264/AVC codec, ensures long term support due to its widespread use in the media industry. We present an approach for the application of this standard 8-bit video codec even for 16-bit projection data sets. Based on a benchmark set of 200 pistons, we evaluate its performance in terms of the compression rate relative to the original input data. Furthermore, we compare the detection rate of manufacturing defects in the reconstructed volumes to the state-of-the-art technique without video encoding. For this purpose our benchmark does not only contain the projections of the 200 pistons, but additionally the exact information about location and size of the manufacturing defects of the respective piston. We show that the detection rate based on the video encoded projection data is, up to a certain threshold, as good as without compression.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134121932","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

Unified redundant patterns for star identification 统一的星识别冗余模式

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729696

Feilong Ji, Jie Jiang, Xinguo Wei

{"title":"Unified redundant patterns for star identification","authors":"Feilong Ji, Jie Jiang, Xinguo Wei","doi":"10.1109/IST.2013.6729696","DOIUrl":"https://doi.org/10.1109/IST.2013.6729696","url":null,"abstract":"Star pattern identification algorithms have employed widely to identify observed stars by star trackers which require reliabilities and adaptivities of algorithms. However, the noises especially the number of stars in field of view (FOV) are still serious problems for primitive star pattern algorithms. A novel algorithm of unified redundant patterns, which are combined with novel redundant neighbor patterns and redundant radial patterns, for star trackers in the “lost in space” mode is presented. Since neighbor patterns and radial patterns describe two different distributions, the distributions between neighbor stars each other and the distributions in the radial direction respectively, and constructed with similar redundant coding solution, they are combined to unified redundant patterns and stored by binary bit strings which reduce memory requirement of on-board database significantly. For the pattern redundancies and combinations, as well as similar score measurement applying patterns synthetically other than multiple-step match, consequently, the proposed algorithm is robust to the star positional noise, magnitude noise and performs still well when sparse stars are in FOV. When evaluated with synthesized star images, our algorithm can obtain identification rates of 99.14% (positional noise is 0.4 pixels). When there are only 4 stars in FOV, the algorithm can still obtain identification rate of 77.03%, much higher than the other star pattern identification algorithms.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125232321","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: 7

Investigation of the gas-solid flows in a circulating fludisied bed with multi-cyclone separators by electrical capacitance tomography 用电容层析成像技术研究多旋风分离器循环流化床内气固流动

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729711

Haigang Wang, G. Qiu, Wuqiang Yang

引用次数: 0

A practical pan-sharpening method with wavelet transform and sparse representation 一种实用的基于小波变换和稀疏表示的泛锐化方法

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729708

Yu Liu, Zengfu Wang

{"title":"A practical pan-sharpening method with wavelet transform and sparse representation","authors":"Yu Liu, Zengfu Wang","doi":"10.1109/IST.2013.6729708","DOIUrl":"https://doi.org/10.1109/IST.2013.6729708","url":null,"abstract":"Pan-sharpening is an important remote sensing image pre-processing technique, which aims at obtaining a high-resolution multispectral (HRM) image by integrating the spectral information of a low-resolution multispectral (LRM) image and the spatial details of a high-resolution panchromatic (HRP) image. This paper proposes a new pan-sharpening method with sparse representation (SR) under the framework of wavelet transform. First, the wavelet transform is applied to the HRP image and the intensity component of LRM image. Then, the low-frequency components are fused based on SR to extract the spatial details in the HRP image as much as possible, and the dictionary is simply learned from high-quality nature images. Moreover, a novel strategy is also proposed to preserve the spectral information in the LRM image. On the other hand, the “numerous-but-sparse” high-frequency components are merged based on the local wavelet energy, which makes the algorithm more efficient than traditional SR-based methods. Finally, the fused result is obtained by performing inverse wavelet transform and inverse IHS transform. Experiments on WorldView-2 images demonstrate that the proposed method gives more spatial details and less spectral distortion compared with some conventional methods in terms of both visual quality and objective measurements.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365608","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 comparison framework for the evaluation of illumination compensation algorithms 一种评价照明补偿算法的比较框架

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729703

Vassilios Vonikakis, R. Kouskouridas, A. Gasteratos

引用次数: 6

A high-resolution imaging method based on broadband excitation and warped frequency transform 一种基于宽带激励和翘曲频率变换的高分辨率成像方法

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729719

Shangchen Fu, Li-hua Shi

引用次数: 2

Automated analysis of immunohistochemical images based on curve evolution approaches 基于曲线演化方法的免疫组织化学图像自动分析

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729673

G. Livanos, M. Zervakis, G. Giakos

引用次数: 1

A new method for image de-noising on the basis of Chen-Mobius transform 基于陈-莫比乌斯变换的图像去噪新方法

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI: 10.1109/IST.2013.6729704

ShunDa Lin

{"title":"A new method for image de-noising on the basis of Chen-Mobius transform","authors":"ShunDa Lin","doi":"10.1109/IST.2013.6729704","DOIUrl":"https://doi.org/10.1109/IST.2013.6729704","url":null,"abstract":"The purpose of this paper is to study a new method of de-noising images corrupted with additive white Gaussian noise. Based on the Chen-Mobius transform, the idea of modulation and demodulation in Chen-Mobius communication system is applied in the image de-noising. The evaluation results of the Chen-Mobius transform of some often-used waveforms are applied in the anti-noise of image. For image de-noising, the data is modulated on a modulation wave for some period and recorded by a certain means, then the data can be carried everywhere. To make such a processing, the Chen-Mobius inverse transformed functions act as the “modulation” waveforms and the receiving end is coherently “demodulated” by the often-used digital waveforms. Simulation results are discussed in some detail. It shows that the new application has excellent performances that the digital image signals can be restored from intense Gaussian noise. Here, to prove the performance of the proposed method, the results are compared with other existent methods or algorithms such as hard and soft threshold based on wavelet. The simulation results on several testing images indicate that the proposed method outperforms the other methods in peak signal to noise ratio and keeps better visual in edges information reservation as well. The results also suggest that Chen-Mobius transform can achieve a better performance than the wavelet transform in image de-noising.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130447703","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