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2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)最新文献

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Mapping vegetation, water bodies and urban areas in PeruSAT-1 satellite imagery 在PeruSAT-1卫星图像中绘制植被、水体和城市区域
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730269
Alejandro Ramírez, A. Pacheco, J. Telles
{"title":"Mapping vegetation, water bodies and urban areas in PeruSAT-1 satellite imagery","authors":"Alejandro Ramírez, A. Pacheco, J. Telles","doi":"10.1109/STSIVA.2019.8730269","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730269","url":null,"abstract":"This work proposes a classification model to identify (at a pixel level) relevant elements in PeruSAT-1 imagery, the first peruvian satellite acquired in 2016 by the Peruvian government. The relevant elements in remote sensing considered are vegetation, water, soil and urban areas. To perform the classification, a linear support vector machine (linear SVM) was trained using the information of 12’000 pixels and tested using 3’000. The proposed model achieves a 98.76% overall accuracy in the testing dataset.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126735498","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
Linear filtering method for bone structures in computerized ultrasonic tomography images 计算机超声断层扫描图像中骨结构的线性滤波方法
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730223
Juan Sebastian Malagón Torres, Jonathan Avendaño Perez, F. Prieto, P. Lasaygues
{"title":"Linear filtering method for bone structures in computerized ultrasonic tomography images","authors":"Juan Sebastian Malagón Torres, Jonathan Avendaño Perez, F. Prieto, P. Lasaygues","doi":"10.1109/STSIVA.2019.8730223","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730223","url":null,"abstract":"computerized ultrasonic tomography is an important radiological technique because of its non-ionizing properties. However, it has been the subject of several studies due to the complexity of its visualization. In this work, a Ram-Lak filter is implemented in the Radon domain to reduce the noise levels in the images and facilitate their observation. Results obtained were superior to those reported in the state of the art with an average improvement of 8.1512 dB.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115349513","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
Multiple Snapshot Colored Compressive Spectral Imager Via Deformable Mirrors 通过可变形镜的多快照彩色压缩光谱成像仪
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730233
M. Márquez, Hoover F. Rueda, P. Meza, E. Vera, Daniel Molina, H. Arguello
{"title":"Multiple Snapshot Colored Compressive Spectral Imager Via Deformable Mirrors","authors":"M. Márquez, Hoover F. Rueda, P. Meza, E. Vera, Daniel Molina, H. Arguello","doi":"10.1109/STSIVA.2019.8730233","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730233","url":null,"abstract":"This work introduces an imaging device that efficiently captures spectral images along with a mathematical model that allows reconstructs them from far fewer measurements than those required by conventional scanning devices. This imaging architecture captures multiplexed representations of the multidimensional information by placing an electrostatic membrane mirror into the optical train of a compressive snapshot imager that employs a color-mosaic attached to the detector. Results show that a gain up to 5 dB of the peak-signal-to-noise ratio is achieved in contrast to a traditional multishot compressive spectral system that requires mechanical displacement of its optical elements.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125839106","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
Seismicity risks by water injection induced for extraction of crude oil 原油开采注水引发的地震活动风险
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-24 DOI: 10.1109/STSIVA.2019.8730248
A. Ramírez, G. Valle, Leonardo Valbuena
{"title":"Seismicity risks by water injection induced for extraction of crude oil","authors":"A. Ramírez, G. Valle, Leonardo Valbuena","doi":"10.1109/STSIVA.2019.8730248","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730248","url":null,"abstract":"During the last decade the frequency of earthquakes in the state of Oklahoma in America increased rapidly from an average of less than two earthquakes of more than 3.0 degrees per year since 1978 to hundreds per year in 2014, 2015 and 2016. In fact, there have been thousands of earthquakes in Oklahoma and the surrounding areas since 2009. Scientific studies attribute the increased earthquakes to the elimination of wastewater produced during the extraction of oil that has been injected deep into the ground. Using the Kaggle database, a correlation analysis was developed in order to corroborate the impact of water injection in local seismicity.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133177580","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
Regular Multi-Shot Subsampling and Reconstruction on 3D Orthogonal Symmetric Seismic Grids via Compressive Sensing 基于压缩感知的三维正交对称地震网格规则多次采样与重构
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-01 DOI: 10.1109/STSIVA.2019.8730279
K. L. López, J. Ramírez, W. Agudelo, Henry Arguello Fuentes
{"title":"Regular Multi-Shot Subsampling and Reconstruction on 3D Orthogonal Symmetric Seismic Grids via Compressive Sensing","authors":"K. L. López, J. Ramírez, W. Agudelo, Henry Arguello Fuentes","doi":"10.1109/STSIVA.2019.8730279","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730279","url":null,"abstract":"Compressive sensing (CS) principles have been successfully tested to seismic exploration, allowing the development of a new acquisition framework. CS-based seismic acquisition approaches attempt to exploit CS principles to reduce turnaround time and budget of the exploration. Different works have focused on receiver-subsampling, nevertheless, sources in a seismic survey are more expensive than receivers. This work extends the concept of subsampling to an acquisition scheme that consists of multiple missing sources on a 3D orthogonal seismic survey. The proposed acquisition scheme removes multiple sources at regular intervals providing flexibility to the acquisition design. The measurement matrix is modeled and the inverse problem to recover the seismic data from the available measurements is formulated. Numerical experiments on real and synthetic datasets show the promising of CS for multiple source subsampling, resulting in accurate reconstructions with SNR values of around 24 dB.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126161359","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
Estimating noise pollution caused by vehicular traffic in an institution of higher education in the city of Cali
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-01 DOI: 10.1109/STSIVA.2019.8730265
Larry Zamorano Narváez, Miguel Torres Rentería, Maria Fernanda Díaz, M. Sarria-Paja, J. Ochoa
{"title":"Estimating noise pollution caused by vehicular traffic in an institution of higher education in the city of Cali","authors":"Larry Zamorano Narváez, Miguel Torres Rentería, Maria Fernanda Díaz, M. Sarria-Paja, J. Ochoa","doi":"10.1109/STSIVA.2019.8730265","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730265","url":null,"abstract":"Noise pollution can affect human health, according to research done by the World Health Organization (WHO), the European Union and the Spanish National Research Council, noise pollution can cause temporary deaf, hypertension Symptoms, and affects concentration and learning processes. In this paper, we estimate noise levels affecting a pilot area in an institution of higher education located in Cali - Colombia. We used the simulation of noise maps method, in which the cartographic information of the study area is analyzed using the ArcGIS® software, next, results are feed to the software SOUNDPLAN® with the French model \"NMPB-Routes-2008\". Results indicate that sound pressure levels are those established by law (resolution 0627 issued by the Environment, Housing and Territorial Development Ministry ) in Colombia for type B sectors, which is the area where the institution is located.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438121","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
Supervised Classification of Histopathological Images Using Convolutional Neuronal Networks for Gastric Cancer Detection 基于卷积神经网络的组织病理学图像监督分类在胃癌检测中的应用
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-01 DOI: 10.1109/STSIVA.2019.8730284
Fabian León, Mayra Gelvez, Zulay Jaimes, Tatiana Gelvez, H. Arguello
{"title":"Supervised Classification of Histopathological Images Using Convolutional Neuronal Networks for Gastric Cancer Detection","authors":"Fabian León, Mayra Gelvez, Zulay Jaimes, Tatiana Gelvez, H. Arguello","doi":"10.1109/STSIVA.2019.8730284","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730284","url":null,"abstract":"This paper presents a pilot-test for gastric cancer detection using histopathological image samples taken from pathology laboratory of the Universidad Industrial de Santander. The proposal follows two approaches: the first one analyzes the image as a whole to find characteristic properties of the benign samples, such as, the correct organization of the cells to form glands; the second one considers local morphological features, such as, the size, the shape, and the intensity of the light of individual nuclei in the cells. For both approaches, the automatic detection is based on a supervised classification model using a literature deep convolutional neural network. Experiments show a detection accuracy of up to 89,72%, which indicates that the proposal is a promising tool to assist the pathological diagnosis.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121643049","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: 13
Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients 超声图像纹理分析在儿科肺炎诊断中的应用
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-01 DOI: 10.1109/STSIVA.2019.8730238
S. Contreras-Ojeda, C. Sierra-Pardo, J. Dominguez-Jimenez, J. Lopez-Bueno, S. H. Contreras-Ortiz
{"title":"Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients","authors":"S. Contreras-Ojeda, C. Sierra-Pardo, J. Dominguez-Jimenez, J. Lopez-Bueno, S. H. Contreras-Ortiz","doi":"10.1109/STSIVA.2019.8730238","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730238","url":null,"abstract":"Pneumonia is a condition that can be life-threatening and affects a high number of children around the world. Lung ultrasound can be used for the diagnosis of pneumonia, but requires high experience. This paper presents an approach for pneumonia detection based on texture analysis of ultrasound images. Several measures were taken in healthy tissues and pneumonia lesions, and the most significant features were identified by statistical analysis. The results of the analysis of variance and exploratory analysis suggest that detection of pneumonia is possible based on image texture features.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127996429","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: 8
Noise-Robust Processing of Phase Dislocations using Combined Unwrapping and Sparse Inpainting with Dictionary Learning 基于字典学习的相位错解包裹与稀疏插值相结合的抗噪处理
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-01 DOI: 10.1109/STSIVA.2019.8730228
J. Pineda, Jhacson Meza, Erik M. Barrios, L. Romero, A. Marrugo
{"title":"Noise-Robust Processing of Phase Dislocations using Combined Unwrapping and Sparse Inpainting with Dictionary Learning","authors":"J. Pineda, Jhacson Meza, Erik M. Barrios, L. Romero, A. Marrugo","doi":"10.1109/STSIVA.2019.8730228","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730228","url":null,"abstract":"The problem of phase unwrapping from a noisy and also incomplete wrapped phase map arises in many optics and image processing applications. In this work, we propose a noise-robust approach for processing regional phase dislocations. Our approach combines phase unwrapping and sparse-based inpainting with dictionary learning to recover the continuous phase map. The method is validated both using numerically simulated data with strong additive white Gaussian noise and phase dislocations; and experimental data from fringe projection profilometry. Comparisons with other phase inpainting method referred to as PULSI+INTERP, show the suitability of the proposed method for phase restoration even in extremely noisy phases. The error given by the proposed method on the highest level of noise (RMSE=0.0269 Rad) remains the smallest compared to the error given by PULSI+INTERP for noise-free data (RMSE=0.0332 Rad).","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116841639","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
Sparsity-based Phase Retrieval from Diffractive Optical Imaging 基于稀疏度的衍射光学成像相位检索
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA) Pub Date : 2019-04-01 DOI: 10.1109/STSIVA.2019.8730251
Andrés Guerrero, Kevin Arias, Samuel Pinilla, H. Arguello
{"title":"Sparsity-based Phase Retrieval from Diffractive Optical Imaging","authors":"Andrés Guerrero, Kevin Arias, Samuel Pinilla, H. Arguello","doi":"10.1109/STSIVA.2019.8730251","DOIUrl":"https://doi.org/10.1109/STSIVA.2019.8730251","url":null,"abstract":"Phase retrieval (PR) is an inverse problem that consists on estimating a signal from phaseless measurements. Recent algorithms have been developed to solve this problem assuming that the signal is sparse on some representation base. On the other hand, in the state-of-the-art has been studied theoretically this problem under a setup that collects coded diffraction patterns at the far field. However, employed coding elements are inadmissible because they allow increments on the power of the signal in the modulation process. Further, the near and middle fields setup remain without any theoretical guarantees of signal recovery. Therefore, this paper provides exact recovery guarantees on any optical field from sparsity-based coded phaseless measurements that meet an admissible modulation. Numerical results show that the proposed coding elements are able to solve sparsity-based PR at any optical field under an admissible modulation. In fact, the results show the types of admissible coding elements that best estimate the support.","PeriodicalId":198240,"journal":{"name":"2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129423730","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
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