imconv

Parameters

Img

M x N Grayscale (intensity) image in any range.

mask

n x n matrix, n odd. This is the spatial convolution kernel.

form

determines the size of Outm. It assumes be one of the following values 'same' Outm has the same size as the original 'full' Outm contains the full convolution, (M+n-1) 'valid'

Parameters

Outm

The convolved matrix (grayscale image).

Description

Function imconv performs 2D spatial convolution of a grayscale image and a mask.

edge(Img)

Detects edges in Img, using the sobel gradient estimator, 0.5 threshold level and in both horizontal and vertical directions.

The other parameters are optional and non-positional. That is, they may be passed to the function by their name. The following example illustrates this.

Examples

initial_dir = PWD; chdir (SIPDIR + 'images'); // Detect horizontal lines h = [ -1 -1 -1 2 2 2 -1 -1 -1] img = imread('gra.jpg'); res = imconv(img,h); clf imshow(res,[]); // Detect diagonal lines d = [ -1 -1 2 -1 2 -1 2 -1 -1] res = imconv(img,d); clf imshow(res,[]); chdir(initial_dir);

Authors

• Ricardo Fabbri <ricardofabbri (AT) users DOT sf DOT net>, with help from
• Scilab Group <Scilab@inria.fr>

Availability

http://siptoolbox.sourceforge.net

See Also

• mkfilter
• edge