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2014 XIX Symposium on Image, Signal Processing and Artificial Vision最新文献

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Analysis of mutli-spectral images from cardiovascular tissue by means of blind source separation methods 基于盲源分离的心血管组织多光谱图像分析
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010167
J. Galeano, S. Perez, Deivid Botina, J. Garzon
{"title":"Analysis of mutli-spectral images from cardiovascular tissue by means of blind source separation methods","authors":"J. Galeano, S. Perez, Deivid Botina, J. Garzon","doi":"10.1109/STSIVA.2014.7010167","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010167","url":null,"abstract":"This article presents the use of blind source separation methods for the decomposition of cardiovascular tissue multi-spectral images in its main morphological components. The evaluated images were acquired with two kinds of systems: one based in a confocal configuration and another based in interference filters. The implemented source separation algorithms are based on a multiplicative coefficient upload and on Principal Component Analysis (PCA) techniques. The goal is to represent a given multi-spectral image as the weighted sum of different components. The resulting weighted coefficients are used to quantify the content of the main components in a given multi-spectral image. The methodology is validated on cardiovascular bovine tissue. The results show that PCA not only allows image reduction but also an increase in the image contrast. This fact allows for a better determination of the tissue's structure. Also, the result of applying NMF shows that the method allows for maps that quantify the principal chromophores that compose cardiovascular tissue.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122987745","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 segmentation blood vessel of retinal using conventional filters, Gabor Transform and skeletonization 利用常规滤波器、Gabor变换和骨架化技术对视网膜血管图像进行分割
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010170
William Lasso, Y. Morales, C. Torres
{"title":"Image segmentation blood vessel of retinal using conventional filters, Gabor Transform and skeletonization","authors":"William Lasso, Y. Morales, C. Torres","doi":"10.1109/STSIVA.2014.7010170","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010170","url":null,"abstract":"This paper implements a digital algorithm that allows the segmentation and skeletonization of digital images, this method is very important in the processing of retinographies images, where of analysis inside of the eye enables early detection of diseases such as Diabetic Retinopathy. The algorithm implemented using the Fourier transforms and Gabor Transform two-dimensional and conventional filters. The performance of algorithm under mathematical platform the Matlab implemented has been compared with conventional methods obtaining resulting filtered images with better contrast and higher resolution.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134348514","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
Gesture recognition system for surgical robot's manipulation 用于手术机器人操作的手势识别系统
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010172
Hermes F. Vargas, O. A. Vivas
{"title":"Gesture recognition system for surgical robot's manipulation","authors":"Hermes F. Vargas, O. A. Vivas","doi":"10.1109/STSIVA.2014.7010172","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010172","url":null,"abstract":"This paper presents a newfangled gesture recognition system for handling two surgical robots in a virtual simulator. The two robots are designed to perform laparoscopy, in order to provide a basis for a surgical trainer. Originally the system is commanded by a joystick, but the inclusion of the new Leap Motion device allows the simulator to be handled by the gestures of the user's hands, which makes it more natural in its management. This device uses infrared signal processing to determine the position and orientation of the objects that are above him and promises to improve the user experience and the usability of 3d applications using natural interfaces instead of mechanical devices.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123937559","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: 17
Improving kinematic lab practices by image processing 通过图像处理改进运动学实验室实践
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010185
Antonio Ramos Murillo, J. I. Marin-Hurtado
{"title":"Improving kinematic lab practices by image processing","authors":"Antonio Ramos Murillo, J. I. Marin-Hurtado","doi":"10.1109/STSIVA.2014.7010185","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010185","url":null,"abstract":"Several studies, including the most recent report of the Program for International Students Assessment, accompanied by the annual measurements by the Colombian Institute for Education Evaluation ICFES (for its acronym in Spanish: Instituto Colombiano para la Evaluación de la Educación) agree an obvious deficiency of students tested, both in the apprehension of different knowledge areas, as well as their skills and competences to solve problems on daily situations. Given this weakness and taken into account the relevance of incorporating Information Technology and Communications (ICT) in the teaching process, we develop a software that supported on the Kinect™ sensor, captures images from certain physics lab experiments. This application also extracts information from the real-time experiment to generate an interface in Augmented Reality (AR) that visualizes some specific physical parameters.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122498303","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
Modulation spectra for automatic detection of Parkinson's disease 用于帕金森病自动检测的调制光谱
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010173
T. Villa-Cañas, J. Orozco-Arroyave, J. Vargas-Bonilla, J. D. Arias-Londoño
{"title":"Modulation spectra for automatic detection of Parkinson's disease","authors":"T. Villa-Cañas, J. Orozco-Arroyave, J. Vargas-Bonilla, J. D. Arias-Londoño","doi":"10.1109/STSIVA.2014.7010173","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010173","url":null,"abstract":"In this paper, we explore the information provided by a joint acoustic and modulation frequency representation, referred as modulation spectrum, for detection of people with Parkinsons disease through speech signals. The set of features includes the centroids and the energy content of different frequency bands in the modulation spectra of the recordings. Additionally, with the aim to eliminate possible redundancy in the information provided by the features, two different feature extraction techniques are applied, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The classification was done by means of Gaussian mixture model (GMM). The results show that this approach is acceptable for this purpose, with the best accuracy around 71% for vowel /i/.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124457985","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
Frequency band displacement for optimizing acoustic boxes above the natural frequency of the loudspeaker 用于优化扬声器固有频率以上的声盒的频带位移
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010161
Albert M. Cruz, Marcelo Herrera Martínez
{"title":"Frequency band displacement for optimizing acoustic boxes above the natural frequency of the loudspeaker","authors":"Albert M. Cruz, Marcelo Herrera Martínez","doi":"10.1109/STSIVA.2014.7010161","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010161","url":null,"abstract":"This project deals with the implementation of an algorithm for frequency band displacement for the optimization of acoustic boxes. This is particularly relevant in the Car-audio industry and similar applications, when limitations of volume and space are present. The work gives an alternative solution to the problem of huge acoustic boxes sizes for the reproduction of low frequencies, using DSP, optimizing small boxes with midrange loudspeaker, without losing the information in the low frequency region. In this paper, information about loudspeaker design and performance is held, as well as the development of an algorithm that analyzes the input signal through the FFT, in order to adapt the fundamental frequency of the input signal to a basic home system or car audio. Analyzing the results of the transfer function it can be observed how the input signal adapts, reaching the optimization of the frequency response of the sound box above the natural frequency of the loudspeaker.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128710582","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
Novel spectral characteristics of the electrical current waveform to quantifying power quality on LED lamps 利用电流波形的新光谱特性量化LED灯的电能质量
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010182
Diego Hernán Peluffo-Ordóñez, E. J. Revelo-Fuelagán
{"title":"Novel spectral characteristics of the electrical current waveform to quantifying power quality on LED lamps","authors":"Diego Hernán Peluffo-Ordóñez, E. J. Revelo-Fuelagán","doi":"10.1109/STSIVA.2014.7010182","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010182","url":null,"abstract":"LED lamps are widely used in household, nonetheless they are still non-linear. Therefore, LEDs need a power supply system to correcting their operation, which introduces nonlinearities into the electrical grid and distortions on waveform. Then analysis and quantification of electrical signals is becoming a key issue. This work presents a spectral analysis of analysis of electric current signal in LEDs lamps which yields a novel collection of characteristics and measures to quantify the waveform quality. In particular, periodogram and Fourier transform are considered. For experiments, two circuits are considered: one that corresponds to the commercial LEDs lamp connected to AC source and another one incorporating a power factor corrector. Experimentally, the usefulness and applicability of proposed characteristics is proved.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116391277","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
Background thermal compensation by filtering (BTCF) for infrared thermography evaluation 滤波背景热补偿(BTCF)用于红外热成像评价
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010162
A. Restrepo-Girón, H. Loaiza-Correa
{"title":"Background thermal compensation by filtering (BTCF) for infrared thermography evaluation","authors":"A. Restrepo-Girón, H. Loaiza-Correa","doi":"10.1109/STSIVA.2014.7010162","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010162","url":null,"abstract":"A new contrast enhancement technique is presented for application in active thermography inspection, based on a decimated version of median filtering to decouple the background thermal information from defective areas, without depending on any heat propagation model or the a priori selection of a healthy region. Results over inspected carbon fiber reinforced plastic (CFRP) slabs show that BTCF can reduce in 70% the residuary non-uniformity heating, and after truncation of negative contrast values, it can be obtained an improvement up to 11dB in SNR with respect to original sequences.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"20 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116778312","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
Causality analysis of P300 recordings focused on the localization of active brain areas P300记录的因果关系分析侧重于大脑活动区域的定位
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010127
B. J. I. Padilla, Jonathan Avendao, D. German Castellanos
{"title":"Causality analysis of P300 recordings focused on the localization of active brain areas","authors":"B. J. I. Padilla, Jonathan Avendao, D. German Castellanos","doi":"10.1109/STSIVA.2014.7010127","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010127","url":null,"abstract":"This paper focuses on the causal influence in the brain. These effects are analyzed by stimulating visually or aurally a patient with an external sensorial stimulus and investigating the outcome into the brain (event-related potentials) in order to detect causal influences from one neuron or neuronal population to another. This analysis is achieved by applying time varying multivariate autoregressive models to the ERP signals. The causal interaction is measured using the Granger Causality Index (GCI). The obtained results using causality can validate the analysis performed by an specialist, and they demonstrate the causal interactions between electrophysiological signals of different sites of the cortex, occurring during cognitive processes related with ERP.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116301455","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
Air-coupled ultrasound spectroscopy and its potential application in agro-industry 空气耦合超声光谱及其在农用工业中的潜在应用
2014 XIX Symposium on Image, Signal Processing and Artificial Vision Pub Date : 2014-09-01 DOI: 10.1109/STSIVA.2014.7010158
D. Collazos-Burbano, J. L. Ealo Cuello, G. Torres, A. Barandica, T. G. Gomez Alvarez-Arenas
{"title":"Air-coupled ultrasound spectroscopy and its potential application in agro-industry","authors":"D. Collazos-Burbano, J. L. Ealo Cuello, G. Torres, A. Barandica, T. G. Gomez Alvarez-Arenas","doi":"10.1109/STSIVA.2014.7010158","DOIUrl":"https://doi.org/10.1109/STSIVA.2014.7010158","url":null,"abstract":"Ultrasonic Spectroscopy (US) is a new alternative technique to extract parameters of vegetal tissues and properties of agro-industrial materials. The US technique involves a set-up in transmission of air-coupled ultrasonic transducers to make inspections contactless and in a non-invasive way. This is an advantage for some samples which cannot be in contact with the sensorial system. In this work we have tested Helliconia leaves and paper samples, focusing in the extraction of mechanical properties as density, acoustic velocity, acoustic attenuation and thickness of samples. Special interest is the relationship between the natural vibration mode and the water content in Helliconia leaves. The extraction of properties involves the solution of an inverse problem associated with the transmission of acoustic waves in three media (air-sample-air). Results show that estimation of these characteristics can be obtained with errors less than 12%. Also, a sensitivity analysis was performed to study how well the numerical method works in presence of noise, obtaining minimum errors in computations at signals to noise ratios as low as 6dB.","PeriodicalId":114554,"journal":{"name":"2014 XIX Symposium on Image, Signal Processing and Artificial Vision","volume":"372 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124662015","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
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