Examinando por Materia "Procesamiento de imágenes"
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- PublicaciónAcceso abiertoDesarrollo de técnicas de inpainting y demosaicing basados en el modelamiento disperso(Universidad de Ibagué., 2019) Pinilla Bustamante, María José; Forero, Manuel GuillermoOne of the most important tasks of image processing in photography is to improve the quality of the photographs you want to study. Many times this is difficult if the acquired image contains scratches, patches or some object or drawing that obstructs the desired information, losing important information that may be needed. The method used to eliminate these possible obstacles thus improving the quality of the image is call inpainting.Another important problem is to treat the reconstruction of the image from the pixels acquired by the digital camera, since cellular cameras, for example, do not acquire the entire pixel matrix and a filling process called demosaicing is necessary, which seeks to complete the image with the least possible distortion. Recently, techniques based on scattered models appeared that offer a solution to the problems described above and allow their implementation in advanced research. However, these techniques are complex to use. Therefore, this paper presents a detailed analysis of the methods and their implementation in a free software ImageJ, also allowing its use in microscopy and biology. The model is a system of linear equations that describes the use of a dictionary next to a vector to make the reconstruction or improvement of the images. In this work, techniques such as OMP (Orthogonal pairing search) will be developed to make the dictionary sweep, decompose the image into patches and make the writing of it. In addition, a dictionary search technique, known as K-SVD, was developed for better results
- PublicaciónAcceso abiertoDetección de fibrosis aledaña a quistes producidos por neurocisticercosis mediante técnicas de procesamiento de imágenes(Universidad de Ibagué., 2019) Betancourt Lozano, Juan José; Forero Vargas, Manuel G.This project is part of a research carried out at the Cayetano Heredia Peruvian University in order to evaluate the post-treatment of the intermediaries of the disease known as neurocysticercosis. The project seeks to detect fibrosis adjacent to brain cysts produced by this condition in RGB images of brain cuts 5um thick. The techniques evaluated are methods that are used in the literature for the detection of both fibrosis and objects in images. When implementing and analyzing the techniques used, the results evaluation process is carried out to observe the method that achieves a higher value of fibrosis in the image without counting the rest of the objects that can be versed in the images. In addition, use fibrosis detection methods in a crocodile identification problem, looking to see if the techniques used are reproducible and can contribute to other research problems. On the other hand, to satisfy a need of the scientific population that studies the crocodiles individually and that, in order to identify them, uses techniques that can put the integrity of the researcher and the specimen studied at risk.
- PublicaciónSólo datosDrones y procesamiento de imágenes, una alternativa a la erradicación de malezas(Ediciones Unibagué, 2020-12-18) Aldana, Yeison AlejandroThe research subject of this article addresses an alternative solution for the eradication of weeds in rice crops, from the processing of images obtained through unmanned aerial vehicles or drones. This research project (Carvajal, 2020) that allows identifying the weed with high accuracy, takes an important value in terms of time and effectiveness with which the eradication processes are carried out for agriculture.
- PublicaciónAcceso abiertoEstudio de movimiento de objetos en imágenes basados en el método de flujo óptico de Horn y Schunck(Universidad de Ibagué., 2019) Briñez Varon, Cristian Javier; Forero Vargas, Manuel GuillermoOne of the most interesting topics in the area of computer vision is the analysis of the movement of objects in a video sequence, a technique commonly known as optical flow. Although several methods have been proposed to solve the problem of optical flow, there is no optimal solution since it is a poorly planned problem, because the video images are only a two-dimensional projection of a 3D world. In this work a study of the original technique of Horn and Schunck is made that gave origin to the investigations in this area, and the use of multi-scale representations that have been used recently to improve the characteristics of the original technique. The multi-scale method is based on reducing the size of the image successively, thus a multi-level pyramid is constructed, starting from the original size or scale of each input image, in order to detect the smallest displacement, since that the original technique fails to detect movements larger than the size of a pixel. The algorithm used by this technique detects first the largest movements and the result is used as the starting point to detect the shortest movements, handling a pyramidal structure based on the previous procedure to calculate the movement at all the scales.
- PublicaciónAcceso abiertoEstudio de técnicas de suavización en imágenes basadas en modelos dispersos(Universidad de Ibagué, 2019) Sánchez Tarquino, Jaime Enrique; Forero, Manuel GuillermoIn the last decade, advanced techniques have been developed for the elimination of noise in the image processing, whose results allow not only a greater denoise, but the preservation of the edges. These techniques include the non-local average method, BDM3D and based on sparse modeling, among others. This last technique has aroused great interest due to the results in which high-intensity noise is eliminated. For them, it uses dictionaries that are built as the filter progresses. This technique has been expanded to be used in combination with neural networks. In this work, the K-SVD smoothing algorithm was implemented. This algorithm is based on sparse modeling. In order to analyze and know the bases, characteristics and results obtained with the dispersed modeling method, it was compared with other noise elimination techniques, based on convolution masks. For this, the response of the filter and its results were analyzed, in terms of noise elimination and edge conservation. For this purpose, natural and synthetic images with different noise levels were used.
- PublicaciónAcceso abiertoEvaluacion de filtros no lineales basados en los métodos Rof y Anisotropo para la eliminación de ruido en imágenes de microscopia confocal(Universidad de Ibagué., 2019) Pena Ambrocio, Reynel Duvan; Forero Vargas, Manuel GuillermoThe Parhyale hawaiensis is a useful model to understand the characteristic events of tissue regeneration and also has great experimental advantages, since with a confocal microscopy equipment and the help of programs for the analysis of images it is possible to quantify cell growth and the appearance of new cells. However, this process is highly routine, inefficient in terms of time and resources, since the processing of images must be done manually in some relevant software for image analysis. Therefore, new methods of image processing are required to automate these processes or make them more efficient, in order to improve research, allowing impartial, reliable and reproducible results. The first step for the development and identification of cells is to eliminate the noise, without affecting its edges, because the signal produced is very weak and the images present a large amount of Poisson noise. This step is necessary in the development of a technique for monitoring cells in microscopy images, required to advance research and knowledge of the mechanisms of regeneration in animals. Due to their great importance, a significant number of non-linear filters have been developed, some of which have not been sufficiently explored for use in microscopy. This research focuses on filters based on anisotropic and ROF. In addition, a comparative analysis of the anisotropic diffusion and ROF filters with the median, average, guided, propagated and propagated filters are presented to determine which of this have the best results in microscopy and synthetic images, developed to determine the quality of the filters.
- PublicaciónAcceso abiertoMétodo automático para la detección de quistes en el cerebro de cerdos a partir de imágenes de resonancia magnética(Universidad de Ibagué., 2019) Hatty Ramírez, Luisa María; Barragán Aya, Yesid Armando; Forero Vargas, Manuel GuillermoThe digital processing of images applied to the biomedical area has become an indispensable tool for better medical information extracting, assisting reliable diagnosis. Neurocysticercosis is an infectious disease known to cause the presence of cysts in the brain. The most frequent symptoms are convulsions and headache. The study of drugs to combat this disease is carried out on animal models such as pigs, given that for ethical reasons it is not originally possible to do it on human being. Normally, the study is done on microscopic images of different cuts of the brain of the animal. Recently, the use of magnetic resonance imaging has been proposed for study, but the analysis is generally complex due to unwanted pig movements, which does not allow high-resolution acquisitions. Currently, there is no method that allows a quick and efficient analysis from the magnetic resonance images of the pig's head in order to obtain valuable information to prove the effectiveness of medicines in the treatment of this disease; thus the analyses are performed manually, which takes a great amount of effort and time. Hence the importance of designing a method based on image processing techniques to identify the amount of cysts presents in the brain and its volume to evaluate the effectiveness of the treatment. Thus, this work describes the method developed in Java programming language applied to the free image processing software ImageJ to obtain the number and volume of cysts.
- PublicaciónAcceso abiertoSeparación y conteo de células musculares en procesamiento de imágenes(Universidad de Ibagué., 2019) Urrego Gamboa, Diego Alejandro; Español Díaz, Jorge Danilo; Forero Vargas, Manuel GuillermoIn medicine and pharmacology it is common to use animal models for the development and evaluation of new medications, since, by ethics, it is not possible to cause harm or experiment with humans. However, little has been done in biomedical engineering to facilitate the work of scientists for studies on these models. In particular, a difficulty that arises in the analysis of muscle tissue is the identification and counting of cells in microscopy images of lower rat limbs. This task is usually done manually, which makes it tedious, subjective, inaccurate, not reproducible and expensive in time. For this reason, in this work a semi-automatic technique was developed based on image processing techniques that allows to accelerate the cell counting process, significantly reducing the analysis time and increasing the accuracy. An editing tool was included to correct the results obtained. For the study, images provided by the Stem Cell Laboratory of the Department of Physiology and Pathological Transplantation of the University of Milan, Italy were used. The method implemented as a tool of the ImageJ program was evaluated and compared with Ground Truth images, obtaining a reduction in time of 83%.
- PublicaciónAcceso abiertoSoftware C.A.S.A para bovinos(Universidad de Ibagué, 2013) Gastelbondo Calderon, Cesar David; Gallo Sánchez, Luisa FernandaAt the agricultural center named “La Granja” of SENA, Espinal – Tolima, was acquired a phase contrast Microscope for educational purposes allowing the study of some of the features which determinate bull sperm fertility; This kind of Microscope allows to take shots of images at 40x and now is complemented with a Computer Assisted Semen Analysis system (CASA) determining those features in a complementary way, hand in hand with the traditional method and making shorter the required time for those studies, besides avoiding to use chemical substances for keeping spermatozoids alive, which now makes a whole more complex and complete process, supporting the results and being them reliable.