. "Petrov\u00E1, Jana" . . . . "7" . "SK - Slovensk\u00E1 republika" . "Edge detection in medical images using the Wavelet Transform" . . "Edge detection improves image readability and it is an important part of images preprocessing aimed to their segmentation and automatic recognition of their contents. This paper describes selected methods of edge detection in magnetic resonance images, with the emphasis on the wavelet transform use. Modulus Maxima Method by Stephane Mallat provides the method for edge detection using wavelet transform. This method is based on finding local maxima of horizontal and vertical wavelet coefficients in the first level of wavelet decomposition. It was tested with various wavelet functions both on simulated and real medical images. Presented paper contains a comparison of basic edge detection methods including simple gradient operators and Canny edge detector, and their combination with wavelet transform use. Mathematical principals were studied, as well as application of these methods. All algorithms were developed in the MATLAB environment using Wavelet and Image Processing Toolboxes." . "Edge detection in medical images using the Wavelet Transform" . "Ho\u0161\u0165\u00E1lkov\u00E1, Eva" . "2"^^ . "Edge detection improves image readability and it is an important part of images preprocessing aimed to their segmentation and automatic recognition of their contents. This paper describes selected methods of edge detection in magnetic resonance images, with the emphasis on the wavelet transform use. Modulus Maxima Method by Stephane Mallat provides the method for edge detection using wavelet transform. This method is based on finding local maxima of horizontal and vertical wavelet coefficients in the first level of wavelet decomposition. It was tested with various wavelet functions both on simulated and real medical images. Presented paper contains a comparison of basic edge detection methods including simple gradient operators and Canny edge detector, and their combination with wavelet transform use. Mathematical principals were studied, as well as application of these methods. All algorithms were developed in the MATLAB environment using Wavelet and Image Processing Toolboxes."@en . "Edge detection in medical images using the Wavelet Transform"@en . . "22340" . "1"^^ . "[E7235DCAAA72]" . "Z(MSM6046137306)" . . . "RIV/60461373:22340/11:43892370!RIV12-MSM-22340___" . "8"^^ . . . . . . . "RIV/60461373:22340/11:43892370" . "196031" . "Edge detection in medical images using the Wavelet Transform"@en . . "4" . . "Posterus" . . . . . "1338-0087" . . "gradient operators; medical images; Canny edge detector; MATLAB; edge detection; Mallat; Modulus Maxima Method; Wavelet transform"@en .