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1
artículo
Publicado 2005
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A Schlumberger resistivity record was made over an area of 50 hectares. A new field of processes based on the analytical signal response of the resistivity data was tested in the presence of disturbed phosphate deposits. Geology models were successively obtained from a peak model of the 2D resistivity data. The optimization of the imaging process was based on the optimization of surface tools. The descending analytical extension of the modeled surface over a depth of 30 meters was used for optimization of the modeling. The analytical processes found were consistently useful. The optimization of the phosphate reserve was improved and better constructed.
2
artículo
Publicado 2017
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Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.
3
artículo
Publicado 2017
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Peruvian retail market today, more than ever, has turned the phrase “everything goes through the eyes” into a competitive tool. The design and optimization of space, as well as visual merchandising, are techniques that impact the sale new concepts such as omnicanality and buying experience are fed by data analytics in order to describe the commercial mode; and new qualitative sources of information, among them color theory, specially help to understand and predict the impact of future decisions on the point of sale. This paper describes the utility of image processing techniques to innovate the retail market in the effort to extract useful information from advertising pieces frequently used in this sector.
4
artículo
Publicado 2008
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Imagery is a Virtual Lab for computer-assisted traning on Digital Image Processing(DIP), currently including 37 modules. Thhis software allows the user in the effects on real images; it may be used in the classroom, in the laboratory or at home. Imagery not only operates on images included by its creator(the author of this report), but also on those provided by the user. Some supporting theory is incluyed in Imagery, which may be used as a complement to specialized textbooks or classes.
5
artículo
Publicado 2008
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Imagery is a Virtual Lab for computer-assisted traning on Digital Image Processing(DIP), currently including 37 modules. Thhis software allows the user in the effects on real images; it may be used in the classroom, in the laboratory or at home. Imagery not only operates on images included by its creator(the author of this report), but also on those provided by the user. Some supporting theory is incluyed in Imagery, which may be used as a complement to specialized textbooks or classes.
6
artículo
Publicado 2019
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It is known that 33% of traffic accidents worldwide are caused by drunk driving or drowsiness [1] [2], so a drowsiness level detection system that integrates image processing was developed with the use of Raspberry Pi3 with the OpenCV library; and sensors such as MQ-3 that measures the percentage of alcohol and the S9 sensor that measures the heart rate. In addition, it has an alert system and as an interface for the visualization of the data measured by the sensors a touch screen. With the image processing technique, facial expressions are analyzed, while physiological behaviors such as heart rate and alcohol percentage are measured with the sensors. In image test training you get an accuracy of x in a response time of x seconds. On the other hand, the evaluation of the operation of the sensors in 90% effective. So the method developed is effective and feasible.
7
tesis de grado
Publicado 2020
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It is known that 33% of traffic accidents worldwide are caused by drunk driving or drowsiness [1] [2], so a drowsiness level detection system that integrates image processing was developed with the use of Raspberry Pi3 with the OpenCV library; and sensors such as MQ-3 that measures the percentage of alcohol and the S9 sensor that measures the heart rate. In addition, it has an alert system and as an interface for the visualization of the data measured by the sensors a touch screen. With the image processing technique, facial expressions are analyzed, while physiological behaviors such as heart rate and alcohol percentage are measured with the sensors. In image test training you get an accuracy of x in a response time of x seconds. On the other hand, the evaluation of the operation of the sensors in 90% effective. So the method developed is effective and feasible
8
artículo
Publicado 2024
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Denoising diffusion probabilistic models (DDPMs) have demonstrated significant potential in addressing complex image processing challenges. This paper explores the application of DDPMs in three different areas: reconstruction of remote sensing imagery affected by cloud cover, reconstruction of facial images with occluded areas, and segmentation of bodies of water from remote sensing imagery. Inpainting involves filling in missing regions in images, while DDPMs act as data generators capable of synthesizing information that alings coherently with the context of the original data. Inspired by the inpainting technique, the RePaint approach was adapted and applied to reconstruction tasks. The WaterSegDiff approach, which uses a diffusion model as a backbone, was employed for the segmentation task. To illustrate the model’s behavior and provide examples of the tasks, experiments were carrie...
9
artículo
Publicado 2024
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Denoising diffusion probabilistic models (DDPMs) have demonstrated significant potential in addressing complex image processing challenges. This paper explores the application of DDPMs in three different areas: reconstruction of remote sensing imagery affected by cloud cover, reconstruction of facial images with occluded areas, and segmentation of bodies of water from remote sensing imagery. Inpainting involves filling in missing regions in images, while DDPMs act as data generators capable of synthesizing information that alings coherently with the context of the original data. Inspired by the inpainting technique, the RePaint approach was adapted and applied to reconstruction tasks. The WaterSegDiff approach, which uses a diffusion model as a backbone, was employed for the segmentation task. To illustrate the model’s behavior and provide examples of the tasks, experiments were carrie...
10
artículo
Publicado 2020
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Accurate determination of plant water status is mandatory to optimize irrigation scheduling and thus maximize yield. Infrared thermography (IRT) can be used as a proxy for detecting stomatal closure as a measure of plant water stress. In this study, an open-source software (Thermal Image Processor (TIPCIP)) that includes image processing techniques such as thermal-visible image segmentation and morphological operations was developed to estimate the crop water stress index (CWSI) in potato crops. Results were compared to the CWSI derived from thermocouples where a high correlation was found ( = 0.84). To evaluate the effectiveness of the software, two experiments were implemented. TIPCIP-based canopy temperature was used to estimate CWSI throughout the growing season, in a humid environment. Two treatments with different irrigation timings were established based on CWSI thresholds: 0.4 (T...
11
artículo
Publicado 2013
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A Virtual Lab to experiment on controlled fusion of two digital images has been developed. The resulting image has user pre-defined percentages of each contributing image. With the aim on improving the quality of the resulting image in the fusion, the Virtual Lab has been enabled with the option of selecting a color to be ignored during the fusion process, in this way this color is not fussioned. Successful experiments have been executed fusing three images using the same algorithm.
12
artículo
Publicado 2013
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A Virtual Lab to experiment on controlled fusion of two digital images has been developed. The resulting image has user pre-defined percentages of each contributing image. With the aim on improving the quality of the resulting image in the fusion, the Virtual Lab has been enabled with the option of selecting a color to be ignored during the fusion process, in this way this color is not fussioned. Successful experiments have been executed fusing three images using the same algorithm.
13
artículo
Publicado 2011
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An educational Virtual Lab, a software oriented to teaching and learning, applied to the study of the Thresholded Difference of grey-leveled images has been developed. This intuitively-easy-to-use Virtual Lab allows studying the threshold-controlled difference of two input images. Interesting results emerge when detecting the thresholded difference of pairs of images, like the effect appearing in the case of image subtraction of two completely different images, an effect setting up the basis for Controlled Image Fusion. Image difference algorithms belong to Digital Image Processing, a computer tool with every time more applications in science and in engineering.
14
artículo
Publicado 2011
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An educational Virtual Lab, a software oriented to teaching and learning, applied to the study of the Thresholded Difference of grey-leveled images has been developed. This intuitively-easy-to-use Virtual Lab allows studying the threshold-controlled difference of two input images. Interesting results emerge when detecting the thresholded difference of pairs of images, like the effect appearing in the case of image subtraction of two completely different images, an effect setting up the basis for Controlled Image Fusion. Image difference algorithms belong to Digital Image Processing, a computer tool with every time more applications in science and in engineering.
15
artículo
Publicado 2012
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An algorithm to select a set of pixels above a predefined grey-level threshold from an image, extract it and transfer it to another image is presented; the result is a restricted overlapping of images, based on the Controlled (modulated) image difference technique. In some applications this thresholded overlapping may be an option to consider when the aim is the mixture of images.
16
artículo
The development of a Virtual Lab to perform experiments on histogram-based binarization of grey-leveled images is reported. With the aim of automatizing the binarization process, a Heuristic Binarization Threshold is introduced. Once the histogram of a grayscale input image is obtained, the module calculates a Heuristic Threshold by taking the weighted average of the foreground grey levels of the image. Next those pixels in input image whose grey levels are above this threshold are highlighted. Although still not experimentally optimum, this heuristic threshold provides a first approximation towards automatic binarization of greyscale images.
17
artículo
Publicado 2008
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El objetivo de esta tesis es la caracterización del funcionamiento hidrogeológico de la unidad minera Santa Rosa (UMSR). Para lograrlo se ha empleado información de cartografía geológica, hidrogeológica, datos mineros y diferentes mapas temáticos, así como mapas derivados obtenidos con técnicas geomáticas y modelos numéricos. En diferentes campañas de campo fueron inventariados 270 puntos de agua, cuatro tajos abiertos, dos tipos de residuos mineros en un área de 878 Ha. De acuerdo con los resultados en la UMSR se diferencian dos unidades acuíferas de importancia: acuífero fisurado formación Chimú y acuífero cárstico formación Inca Chulec. La cartografía geológica y el mapa de alineamientos muestran que el área de la UMSR está cortada por diferentes tipos de fallas y fracturas en 4 direcciones principales. Los tajos abiertos y las zonas fracturadas controlan la re...
18
artículo
Publicado 2020
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This study aims to know how the training processes of practicing teachers contribute to the construction of beliefs about teaching at the university. Froma qualitative methodology with agrounded theory approach, professors from public and private universities were selected through theoretical sampling. In-depth interviews were conducted to collect data whichwere analytically coded. Among the results it was found that the teachers' beliefs come frominstitutional training of a normative typewhich emphasizes a functional teaching in didactic techniques, use of technology and innovation, excluding training in knowledge of the discipline they teach. Thus,it was also found that teachers carry out self-training processes on a personal initiativefor updating scientific knowledgeand develop their practices teaching with strategies that they themselves use to learn, because they believe in their o...
19
artículo
The incorporation of technology to various sectors such as education, agriculture, medicine, and public and private entities has allowed the virtualization of various knowledge improvement strategies. For this reason, new projects have been evidenced such as self-development areas, platforms for mobile devices, robots, intelligent systems, virtual assistants and artificialintelligence, etc. These formats are an example of technological innovation aimed at developing diverse and beneficial educational formats, facilitating the digital transformation that drives innovation. Artificial intelligence has a variety of uses in society and is making great strides in new technologies like blockchain. By far, these are the most innovative and powerful strategies for designing architectures that provide security and reliability in massive data processing. The objective of this research is to determ...
20
artículo
The incorporation of technology to various sectors such as education, agriculture, medicine, and public and private entities has allowed the virtualization of various knowledge improvement strategies. For this reason, new projects have been evidenced such as self-development areas, platforms for mobile devices, robots, intelligent systems, virtual assistants and artificialintelligence, etc. These formats are an example of technological innovation aimed at developing diverse and beneficial educational formats, facilitating the digital transformation that drives innovation. Artificial intelligence has a variety of uses in society and is making great strides in new technologies like blockchain. By far, these are the most innovative and powerful strategies for designing architectures that provide security and reliability in massive data processing. The objective of this research is to determ...
