This Node implements the so-called anisotropic diffusion scheme of Perona and Malik, 1990. For details on the anisotropic diffusi…

Applys average filtering to images in n-dimensions

Filter the input image using a bilateral filter. Wikipedia: The intensity value at each pixel in an image is replaced by a weight…

Generic Convolver to convolve an image with a given kernel (i.e. another image). One way to create kernels is the "Convolution Ke…

Applys Min filtering to images in n-dimensions

This Filter is a generalized median filter using the algorithm from Median Filtering in Constant Time , S. Perreault and P. Heber…

This filter is based on the algorithm described in the following paper: Lee, Jong-Sen (1983), "Digital image smoothing and the si…

The Sobel operator is used in image processing, particularly within edge detection algorithms. Technically, it is a discrete diff…

Applys Variance filtering to images in n-dimensions

A Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function. It is a widely used…

A Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function. It is a widely used…

Applys Max filtering to images in n-dimensions

The Maximum Homogeneity Neighborhood Node lays 8 different areas around one Pixel and applies a measurement of homogeneity which …

Applys Median filtering to images in n-dimensions

(based on ImageJ 2_0_x)

(based on ImageJ 2_0_x)