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International Conference on Imaging Theory and Applications最新文献

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Robust Fuzzy-c-means for Image Segmentation 鲁棒模糊c均值图像分割
International Conference on Imaging Theory and Applications Pub Date : 2016-11-30 DOI: 10.5220/0001787000870091
M. Wafa, E. Zagrouba
{"title":"Robust Fuzzy-c-means for Image Segmentation","authors":"M. Wafa, E. Zagrouba","doi":"10.5220/0001787000870091","DOIUrl":"https://doi.org/10.5220/0001787000870091","url":null,"abstract":"Fuzzy-c-means (FCM) algorithm is widely used for magnetic resonance (MR) image segmentation. However, conventional FCM is sensitive to noise because it does not consider the spatial information in the image. To overcome the above problem, an FCM algorithm with spatial information is presented in this paper. The algorithm is realized by integrating spatial contextual information into the membership function to make the method less sensitive to noise. The new spatial information term is defined as the summation of the membership function in the neighborhood of pixel under consideration weighted by a parameter α to control the neighborhood effect. This new method is applied to both synthetic images and MR data. Experimental results show that the presented method is more robust to noise than the conventional FCM and yields homogenous labeling.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133631467","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
Segmentation Through Edge-linking - Segmentation for Video-based Driver Assistance Systems 通过边缘连接进行分割。基于视频的驾驶员辅助系统的分割
International Conference on Imaging Theory and Applications Pub Date : 2016-11-30 DOI: 10.5220/0001770700430049
A. Laika, A. Taruttis, W. Stechele
{"title":"Segmentation Through Edge-linking - Segmentation for Video-based Driver Assistance Systems","authors":"A. Laika, A. Taruttis, W. Stechele","doi":"10.5220/0001770700430049","DOIUrl":"https://doi.org/10.5220/0001770700430049","url":null,"abstract":"This work aims to develop an image segmentation method to be used in automotive driver assistance systems. In this context it is possible to incorporate a priori knowledge from other sensors to ease the problem of localizing objects and to improve the results. It is however desired to produce accurate segmentations displaying good edge localization and to have real time capabilities. An edge-segment grouping method is presented to meet these aims. Edges of varying strength are detected initially. In various preprocessing steps edge-segments are formed. A sparse graph is generated from those using perceptual grouping phenomena. Closed contours are formed by solving the shortest path problem. Using test data fitting to the application domain, it is shown that the proposed method provides more accurate results than the well-known Gradient Vector Field Snakes.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115277921","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
Analytical Imaging of Cultural Heritage by Synchrotron Radiation and Visible Light - near Infrared Spectroscopy 文物同步辐射与可见光-近红外光谱分析成像
International Conference on Imaging Theory and Applications Pub Date : 2016-11-30 DOI: 10.5220/0001788201210128
J. A. Toque, Y. Sakatoku, Julia Anders, Y. Murayama, A. Ide-Ektessabi
{"title":"Analytical Imaging of Cultural Heritage by Synchrotron Radiation and Visible Light - near Infrared Spectroscopy","authors":"J. A. Toque, Y. Sakatoku, Julia Anders, Y. Murayama, A. Ide-Ektessabi","doi":"10.5220/0001788201210128","DOIUrl":"https://doi.org/10.5220/0001788201210128","url":null,"abstract":"Imaging is an important tool for analyzing cultural heritage. Due to its delicate nature, the analysis presents numerous technical challenges, probably the most important of which is its requirement for non-destructive and non-invasive investigation. In this study, two techniques used in the analysis of cultural heritage are presented. The first one, synchrotron radiation x-ray fluorescence, is an advanced analytical technique with high accuracy and good spatial resolution. On the other hand, spectroscopic technique based on visible light-near infrared spectrum is becoming popular due to some information that it can provide, which are not available even in advanced analytical techniques. These two techniques were used to analyze real cultural heritage such as an ancient Mongolian textile, traditional Korean painting and commonly used pigments in Japanese paintings. The results revealed that using synchrotron radiation-based techniques is sometimes not enough in providing critical information (e.g. spectral reflectance, color, etc.) necessary for understanding of cultural heritage. This can be complemented using visible light-near infrared technique.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133808180","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
Reconstruction of Hyperspectral Image based on Regression Analysis - Optimum Regression Model and Channel Selection 基于回归分析的高光谱图像重建——最优回归模型与通道选择
International Conference on Imaging Theory and Applications Pub Date : 2016-11-28 DOI: 10.5220/0001791800500055
Y. Sakatoku, J. A. Toque, A. Ide-Ektessabi
{"title":"Reconstruction of Hyperspectral Image based on Regression Analysis - Optimum Regression Model and Channel Selection","authors":"Y. Sakatoku, J. A. Toque, A. Ide-Ektessabi","doi":"10.5220/0001791800500055","DOIUrl":"https://doi.org/10.5220/0001791800500055","url":null,"abstract":"The purpose of this study is to develop an efficient appraoch for producing hyperspectral images by using reconstructed spectral reflectance from multispectral images. In this study, an indirect reconstruction based on regression analysis was employed because of its stability to noise and its practicality. In this approach however, the regression model selection and channel selection when acquiring the multispectral images play important roles, which consequently affects the efficiency and accuracy of reconstruction. The optimum regression model and channel selection were investigated using the Akaike information criterion (AIC). By comparing the model based on the AIC model based on the pseudoinverse method (the pseudinverse method is a widely used reconstruction technique), RMSE could be reduced by fifty percent. In addition, it was shown that AIC-based model has good stability to noise.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"4664 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115502482","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
Automatic Data Extraction in Odontological X-ray Imaging 口腔x射线成像中的自动数据提取
International Conference on Imaging Theory and Applications Pub Date : 2016-11-26 DOI: 10.5220/0001800601410144
D. Oliveira, G. Giraldi, L. A. P. Neves, A. G. D. Costa, Érica C. Kuchler
{"title":"Automatic Data Extraction in Odontological X-ray Imaging","authors":"D. Oliveira, G. Giraldi, L. A. P. Neves, A. G. D. Costa, Érica C. Kuchler","doi":"10.5220/0001800601410144","DOIUrl":"https://doi.org/10.5220/0001800601410144","url":null,"abstract":"Automating the process of analysis in dental x-ray images is receiving increased attention. In this process, teeth segmentation from the radiographic images and feature extraction are essential steps. In this paper, we propose an approach based on thresholding and mathematical morphology for teeth segmentation. First, a thresholding technique is applied based on the image intensity histogram. Then, mathematical morphology operators are used to improve the efficiency of the teeth segmentation. Finally, we perform the boundary extraction and apply the Principal Component Analysis (PCA) to get the principal axes of the teeth and some lengths along it that are useful for dentist diagnosis. The technique is promising and can be extended for other applications in dental x-ray imaging.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126677979","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
Multi-modal Information Retrieval for Content-based Medical Image and Video Data Mining 基于内容的医学图像和视频数据挖掘的多模态信息检索
International Conference on Imaging Theory and Applications Pub Date : 2016-11-24 DOI: 10.5220/0001774200830086
Peijiang Yuan, Bo Zhang, Jianmin Li
{"title":"Multi-modal Information Retrieval for Content-based Medical Image and Video Data Mining","authors":"Peijiang Yuan, Bo Zhang, Jianmin Li","doi":"10.5220/0001774200830086","DOIUrl":"https://doi.org/10.5220/0001774200830086","url":null,"abstract":"Image based medical diagnosis plays an important role in improving the quality of health-care industry. Content based image retrieval (CBIR) has been successfully implemented in medical fields to help physicians in training and surgery. Many radiological and pathological images and videos are generated by hospitals, universities and medical centers with sophisticated image acquisition devices. Images and Videos that help senior or junior physician to practice medical surgery become more and more popular and easier to access through different ways. To help learn the process of a surgery or even make decisions is one of the main objectives of the content based image and video retrieval system. In this paper, a contented-based multimodal medical video retrieval system (CBMVR) for medical image and video databases is addressed. Some key issues are discussed. A new feature representation method named Artificial Potential Field (APF) is addressed which is specially useful in symmetrical imaging feature extraction. Experimental results show that, with this CBMVR, both the senior and junior physicians can benefit from the mass data of medical images and videos.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130497926","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
Memory-based Speckle Reducing Anisotropic Diffusion 基于记忆的散斑减少各向异性扩散
International Conference on Imaging Theory and Applications Pub Date : 2016-11-21 DOI: 10.5220/0001803500640069
Walid Ibrahim, M. El-Sakka
{"title":"Memory-based Speckle Reducing Anisotropic Diffusion","authors":"Walid Ibrahim, M. El-Sakka","doi":"10.5220/0001803500640069","DOIUrl":"https://doi.org/10.5220/0001803500640069","url":null,"abstract":"Diffusion filters are usually modelled as partial differential equations (PDEs) and used to reduce image noise without affecting the image main features. However, they have a drawback of broadening object boundaries and dislocating edges. Such drawbacks limit the ability of diffusion techniques applied to image processing. Yu and Acton. introduced the speckle reducing anisotropic diffusion (SRAD) to reduce speckle noise from ultrasound (US) and synthetic aperture radar (SAR) images. Incorporating the instantaneous coefficient of variation (ICOV) as the diffusion coefficient and edge detector, SRAD gives significantly enhanced images where most of the speckle noise is reduced. Yet, SRAD still faces the same problem of ordinary diffusion filters where the boundary broadening and edge dislocation affect its overall performance. In this paper, we introduce a novel approach to the diffusion filtering process, where a memory term is introduced as a reaction-diffusion term. By applying our new memory-based diffusion to SRAD, we significantly reduced the boundary broadening and edge dislocation effect and enhanced the diffusion process itself. Experimental results showed that the performance of our proposed memory-based scheme surpass other diffusion filters like normal SRAD and Perona-Malik filter as well as various adaptive linear de-noising filters.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127741314","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 71ps-resolution Multi-channel CMOS Time-to-Digital Converter for Positron Emission Tomography Imaging Applications 用于正电子发射断层成像应用的71ps分辨率多通道CMOS时间-数字转换器
International Conference on Imaging Theory and Applications Pub Date : 2016-11-21 DOI: 10.5220/0001768601710176
W. Gao, C. Hu-Guo, N. Ollivier-Henry, Yann Hu, D. Gao, T. Wei
{"title":"A 71ps-resolution Multi-channel CMOS Time-to-Digital Converter for Positron Emission Tomography Imaging Applications","authors":"W. Gao, C. Hu-Guo, N. Ollivier-Henry, Yann Hu, D. Gao, T. Wei","doi":"10.5220/0001768601710176","DOIUrl":"https://doi.org/10.5220/0001768601710176","url":null,"abstract":"This paper presents a high-resolution multi-channel Time-to-Digital Converter (TDC) for Positron Emission Tomography (PET) imaging system. The TDC using a two-level conversion scheme is proposed for obtaining high timing resolution. Double 10-bit gray counters are designed for coarse conversion while a multiphase sampling technology is presented for fine conversion. In order to achieve better timing resolution with either a faster technology, an array of Delay-locked loops is chosen as a timing generator. A prototype chip of 3-channel TDC is designed and fabricated in AMS 0.35μm CMOS technology. The area of the chip is 8.4 mm in size. The measured range of the TDC is 10μs. The time tap is reduced to 71ps with a reference clock of 100MHz. The differential nonlinearity is ±0.1LSB. The circuits will be extended to 64 channels for small animal PET imaging systems.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128201176","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
Adaptive Fuzzy Colour Segmentation on RGB Ratio Space for Road Detection 基于RGB比例空间的自适应模糊颜色分割道路检测
International Conference on Imaging Theory and Applications Pub Date : 2016-11-20 DOI: 10.5220/0001746300310036
Chieh-Li Chen, Chung-Li Tai
{"title":"Adaptive Fuzzy Colour Segmentation on RGB Ratio Space for Road Detection","authors":"Chieh-Li Chen, Chung-Li Tai","doi":"10.5220/0001746300310036","DOIUrl":"https://doi.org/10.5220/0001746300310036","url":null,"abstract":"In this paper, the RGB ratio is defined according to a reference colour such that the image can be transformed from a conventional colour space to the RGB ratio space. Different to distance measurement, a road colour segment is determined by an area in RGB ratio space enclosed by the estimated boundaries. Adaptive fuzzy logic, which fuzzy membership functions are defined according to estimated boundaries, is introduced to implement clustering rules. Low computation cost of the proposed segmentation method shows the feasibility to real time application. Experimental results for road detection demonstrate the robustness to intensity variation of the proposed approach.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133769668","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
PCA-based Seeding for Improved Vector Quantization 基于pca的矢量量化改进算法
International Conference on Imaging Theory and Applications Pub Date : 2016-11-20 DOI: 10.5220/0001808100960099
G. Knittel, R. Parys
{"title":"PCA-based Seeding for Improved Vector Quantization","authors":"G. Knittel, R. Parys","doi":"10.5220/0001808100960099","DOIUrl":"https://doi.org/10.5220/0001808100960099","url":null,"abstract":"We propose a new method for finding initial codevectors for vector quantization. It is based on Principal Component Analysis and uses error-directed subdivision of the eigenspace in reduced dimensionality. Additionally, however, we include shape-directed split decisions based on eigenvalue ratios to improve the visual appearance. The method achieves about the same image quality as the well-known k-means++ method, while providing some global control over compression priorities.","PeriodicalId":231479,"journal":{"name":"International Conference on Imaging Theory and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115329640","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
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