itba_ati_2019_q1's People
itba_ati_2019_q1's Issues
Ruido gaussiano
Equalizacion
Umbralizacion de Otsu
(tanto Gray como RGB)
Harris detector
Vamos a comparar metodos, con Harris podemos usar el nuestro... o usar una libreria
Canny
Difusion Anisotropica
Ruido de Rayleigh
Harris
Negativo
Open varios image files
Susan
MSER
Suma de imagenes
EigenValues of Deformation Matrix
As paper says Eigenvalues of deformation matrix is the Shi and Tomasi Corner detector. Find how to implement it as is not as easy as other detectors
Implementar Laplaciano (evaluacion de pendiente)
Implementar Laplaciano
Filtro de bordes
Implementar Gradiente Prewit
Implementar Laplaciano del Gaussiano
Umbralizacion global
Compresion dinamica (incluye estado de un pixel > 256)
Filtro de mediana
Segmentacion basada en conjuntos de nivel e intercambio de pixels
Filtro Bilateral
Filtro de media
Filtro de mediana ponderada
Implementar Mascara en multiples direcciones
(Sacar de prewit y hacerlo generico)
Luego, implementar las 4 mascaras que pide la consigna
Control de ruido aplicado a una imagen
No estaria aplicando bien el porcentaje, ver bien porque
Difusion Isotropica
Filtro gaussiano
Final paper implementation
Basados en el paper propuesto
Debemos utilizar todos los metodos propuestos en el paper, podriamos sumar SIFT, y comparar resultados como en el paper.
Resta de imagenes
Crear PortableImages a partir de BufferedImage o byte[][]
Deberiamos poder generar todo tipo de portable image, es mas facil de manejar una BufferedImage o arrays de arrays
Potencia gamma
Rectas con Hough
Histograma
Sal y pimienta
SIFT
Implementar Gradiente Sobel
Fixear Undo Redo
Deberia ser un deep copy en el setImage
Aumento de contraste
Ruido exponencial
Circulos con Hough
Logica de filtro con mascara
Umbral
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