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Brain's tumor image processing using shearlet transform
Conference ObjectAbstract: Brain tumor detection is well known research area for medical and computer scientists. In last decadPalabras claves:brain tumor detection, edge detection, image analysis, Medical Imaging, shearlet transformAutores:Cadena F., Korneeva A., Kruglyakov A., Legalov A., Luis Cadena, Nikolai D. Espinosa, Romanenko A., Zotin A.Fuentes:scopusFilters evaluation for detection of contours in satellite images for cadaster purposes
Conference ObjectAbstract: The contour detection has an important role in image processing, especially in the detection and thePalabras claves:Canny, Contour, Digital image, Filters Sobel, LoG. ssim, Prewitt Roberts, Satellite imageAutores:Cadena F., Kruglyakov A., Luis Cadena, Romanenko A., Zotin A.Fuentes:scopusEnhancement of medical image using spatial optimized filters and OpenMP technology
Conference ObjectAbstract: For remove noise digital filters are used which in the last decades have taken great impetus for thePalabras claves:Denoising, Gaussian 2D filter, IMAGE PROCESSING, Mean filter, MEDIAN FILTER, medical image, Openmp, Parallel programingAutores:Cadena F., Luis Cadena, Zotin A.Fuentes:scopusEvaluation of noise reduction filters in medical image processing usijrig OpenMP
ArticleAbstract: Most of the medical diagnostic requires studies of medical images for to give an accurate treatment.Palabras claves:Gaussian 2D, Mean filter, MEDIAN FILTER, medical image, Openmp, Parallel programmingAutores:Cadena F., Castillo P., Luis Cadena, Patricia Diáz, Zotin A.Fuentes:scopusNoise reduction techniques for processing of medical images
Conference ObjectAbstract: An application of different techniques for processing medical images is presented in this paper. ThePalabras claves:2DCleaner filter, Denoising, Gaussian 2D filter, IMAGE PROCESSING, Mean filter, MEDIAN FILTER, medical imageAutores:Byron Morales, Cadena F., Korneeva A., Legalov A., Luis Cadena, Zotin A.Fuentes:scopusNoise removal of the x-ray medical image using fast spatial filters and GPU
Conference ObjectAbstract: Medical images are corrupted by different types of noises caused by the equipment itself. It is veryPalabras claves:average fast filter, Gaussian fast filter, GPU, median fast filter, medical image, Parallel programmingAutores:Cadena F., Luis Cadena, Nikolai D. Espinosa, Zotin A.Fuentes:scopusImprove method using spatial fast filters and GPU to detection of parcels of land in satellite images for cadaster purposes
Conference ObjectAbstract: Nowadays, remotely sensed images are used for various purposes in different applications. One of thePalabras claves:Canny edge detector, Digital image, Dynamic histogram equalization, Fast filters, GPU, Parallel programming, Satellite image, SSIM measureAutores:Cadena F., Legalov A., Luis Cadena, Zotin A.Fuentes:scopusImage compression algorithm using wavelet transform
Conference ObjectAbstract: Within the multi-resolution analysis, the study of the image compression algorithm using the Haar waPalabras claves:compression ratio, Haar wavelet, IMAGE PROCESSING, Signal processing, wavelet transformAutores:Cadena F., Luis Cadena, Okhotnikov G., Simonov K., Zotin A.Fuentes:scopusProcessing MRI brain image using OpenMP and fast filters for noise reduction
Conference ObjectAbstract: The medical diagnosis of most pathologists requires the analysis of the image studies. Therefore, itPalabras claves:Fast Gaussian 2D, Fast mean filter, Fast median filter, MRI brain image, Openmp, Parallel programmingAutores:Cadena F., Castillo P., Darwin Patricio Castillo Malla, Gustavo Cadena, Luis Cadena, Patricia Diáz, Yuliana Jiménez-Gaona, Zotin A.Fuentes:googlescopusProcessing medical images by new several mathematics shearlet transform
Conference ObjectAbstract: A new methodology is shown to perform medical image processing by the shearlet transform. The contouPalabras claves:Contour detect, Filter Prewitt, Filter Sobel, IMAGE PROCESSING, shearlet transformAutores:Barkova D., Cadena F., Kirillova S., Luis Cadena, Nikolai D. Espinosa, Zotin A.Fuentes:scopus