Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013最新文献

Fast content-based audio retrieval algorithm 快速基于内容的音频检索算法

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644941

C. Pedraza, Jaime Vitola, J. Sepúlveda, J. Martínez

引用次数: 5

Tool of segmentation and 3D reconstruction of MRI to quantify cranial tumor activity MRI分割和三维重建工具量化颅内肿瘤活动

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644914

E. Morales, G. Saurez Martinez, Carlos Cabal Mirabal, Evelio González Dalmau

{"title":"Tool of segmentation and 3D reconstruction of MRI to quantify cranial tumor activity","authors":"E. Morales, G. Saurez Martinez, Carlos Cabal Mirabal, Evelio González Dalmau","doi":"10.1109/STSIVA.2013.6644914","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644914","url":null,"abstract":"Currently in the biomedical field of image processing software are used for quantitative measurement of tumor lesions, but the analysis of longitudinal studies has limitations; mainly for monitoring of treatment effect and some of this software are owners. Existing software from brain tumor diagnosis and evaluation treatment is a manual process of mensuration of the size of the tumor and alone slide measurement selected, without one a tool that integrates all the functionalities for the quantitative evaluation of the lesions and applied treatments. This justifies finding new and validated tools for imaging biomarkers (IB) applied to magnetic resonance image (MRI). A series of 29 pediatric patients, 14 females and 15 males, between 3 to 18 years, with confirmed malignant brain tumors and treated with a monoclonal antibody nimotuzumab, were evaluated during 2 years for to validate IB-MRI. The MRI were obtained with a 1.5 T MR Symphony Maestro Class System (Siemens, Germany). The protocol included weighted images in T2, T1 and FLAIR. A tool developed in Matlab was obtained. Segmentation and reconstruction methods in three dimensions (3D) were applied and were also integrated in a single interface to integrate others separate tools. Additionally includes the use of an automated method of segmentation of background noise that reduces the amount of points to be processed. The volumes calculated overlap each technique reflecting different biological realities. Our tool is effective to quantitatively evaluate the antitumor effect to treatment.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127399520","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

RASCAN type radar image resolution enhancement for non-metallic landmine detection 用于非金属地雷探测的RASCAN型雷达图像分辨率增强

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644923

Andrés Quintero-Zea, Marisol Osorio-Cardenas

引用次数: 5

Color and size image dataset normalization protocol for natural image classification: A case study in tomato crop pathologies 用于自然图像分类的颜色和大小图像数据集归一化协议:以番茄作物病理为例研究

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644938

Juan F. Molina, R. Gil, C. Bojacá, Gloria Díaz, Hugo Franco

引用次数: 9

Statistical model of a signal of Raman spectroscopy: Detection 拉曼光谱信号的统计模型:检测

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644935

Carlos A. Gutiérrez, Xavier García, E. Zurek, Augusto Salazar

{"title":"Statistical model of a signal of Raman spectroscopy: Detection","authors":"Carlos A. Gutiérrez, Xavier García, E. Zurek, Augusto Salazar","doi":"10.1109/STSIVA.2013.6644935","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644935","url":null,"abstract":"Raman spectroscopy (RS) is a technique to find the spectral fingerprint of a material under study. To reach the spectrum, it is necessary to pass the acquired signal at the spectrometer by a bank of filters known as Raman signal's preprocessing system, which should eliminate all noise components accompanying the signal. The behavior of these noise components, and even the signal itself, are information that can be useful in order to optimize the system and to study the signal itself. This paper proposes a statistical model of Raman signal as the pre-processing system receives it, the signal's noise components and their statistical behavior, including its mathematical representation are presented. Additionally, it shows the results of the implementation of the simulation model leaving the door open for the validation, on which work is being done. The implementation of this model may be useful as an input signal for the optimization of the filter banks, since there are not always sufficient Raman signals for detailed study and development of filters for a specific signal under study. The model could also be used as a base for the study for systems using Raman spectroscopy to recognize substances.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131210721","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

Strawberries collecting robot prototype in greenhouse hydroponic systems 温室水培系统草莓采集机器人原型

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644933

Edwin Saenz, Mario Jimenez, Andrés F. Ramirez

引用次数: 11

Robust video feature extraction invariant to natural lighting by using LBP techniques with adaptive thresholding 基于自适应阈值的LBP技术对自然光照的鲁棒视频特征提取

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644942

Andres Rodriguez, S. A. Orjuela Vargas, W. Philips

{"title":"Robust video feature extraction invariant to natural lighting by using LBP techniques with adaptive thresholding","authors":"Andres Rodriguez, S. A. Orjuela Vargas, W. Philips","doi":"10.1109/STSIVA.2013.6644942","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644942","url":null,"abstract":"Real time applications in video processing require low computational cost algorithms that allow processing a considerable number, commonly 25, of frames per second. Particularly, in outdoor visual scenes, a challenge is to develop robust algorithms with environmental conditions such as natural lighting. We propose to compute an adaptive threshold based on de probability distribution of the differences in intensity between the pixels and the points on their neighborhoods when applying the LBP technique. We assume, and prove it experimentally, that such distribution is a generalized Gaussian distribution under normal conditions. We consider normal conditions a visual scene in an outdoor field composed of different objects, colors and textures. To compute the adaptive threshold, we first estimate the parameters of the generalized Gaussian distribution using the set of all differences in the image between the intensity values of pixels and points in the neighbourhood. We test the methods on four videos captures during day and night in different places in the city of Ibague. The results of this approach are of interest to determine patterns, identify objects or detect background in a further step. However, an extra step for blur correction must be still included, considering that the images of the frames at night are commonly blurred.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517410","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

Design of 2-D filters for video processing using FPGAs 基于fpga的视频处理二维滤波器的设计

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644915

A. F. Torres-Monsalve, J. D. Bolanos-Jojoa, Jaime Velasco-Medina

引用次数: 1

Evaluation of Mean, Gaussian and S&G aggregation windows in stereo correspondence under presence of noise 噪声存在下立体对应中均值、高斯和S&G聚集窗口的评价

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644940

F. Calderon, C. Parra, Cesar L. Nino

引用次数: 0

An interactive floor for shape-based interactions using a client-server architecture 使用客户机-服务器体系结构进行基于形状的交互的交互式层

Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013 Pub Date : 2013-10-24 DOI: 10.1109/STSIVA.2013.6644917

Gonzalo Luzardo, B. Guamán, K. Chiluiza

{"title":"An interactive floor for shape-based interactions using a client-server architecture","authors":"Gonzalo Luzardo, B. Guamán, K. Chiluiza","doi":"10.1109/STSIVA.2013.6644917","DOIUrl":"https://doi.org/10.1109/STSIVA.2013.6644917","url":null,"abstract":"Interaction with large surfaces such as walls and floors has become an interesting topic among scholars and researchers. Several approaches to implement such surfaces have been explored, as well as ways of evaluating its user interaction. The objective of this paper is three-folded: first, it sought to shed light on how to implement a low-cost computer vision interactive floor, based on a shape-based interaction approach (conversely, to the common point-based interaction approach used in other solutions); second, the performance of the client-server system was studied; third, a usability study was set up and examined quantitatively the users' satisfaction and realism of their interaction with the system. The results demonstrated that a maximum of four people can interact simultaneously compromising the CPU usage up to 50% on the server and up to 90% on the client. The network traffic was also analyzed showing that due to the simplifications of the shapes sent from the server to the client, the traffic was between 127 Kbps and 759 Kbps. Moreover, the user experience and realism are enhanced using the approach proposed. Conclusions and perspectives for further development and future work are presented at the end of the article.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127741788","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