Revision as of 19:50, 28 July 2015 (view source) rosettacode>Ooorah (Added MATLAB (built-in) example) ← Older edit		Revision as of 04:44, 30 July 2015 (view source) rosettacode>JimTheriot m (→‎{{header\|J}}) Newer edit →
Line 672: =={{header\|J}}== <p>~~The~~In ~~image~~this issolution images are represented as a 2D ~~array~~arrays of pixels, with first and second axes representing down and right respectively. Each ~~Array~~processing step has a specific pixel representation. In the original and Gaussian-filtered images, array elements represent monochromatic intensity values as ~~integers~~numbers ranging from 0 (black) to 255 (white). In the intensity gradient image, gradient values are vectors, and are represented as complex numbers, with real and imaginary components representing down and right respectively. </p> <p>In the intensity gradient image, fields are similarly structured. Gradient values are vectors, and are represented here as complex numbers, with real and imaginary components representing down and right respectively. </p> <p>Detected edge and non-edge points are represented as ones and zeros respectively. An edge is a set of connected edge points (points adjacent horizontally, vertically, or diagonally are considered to be connected). In the final image, each edge is represented by assigning its set of points a common unique value. </p> <lang J>NB. 2D convolution, filtering, ...

Canny edge detector: Difference between revisions

Canny edge detector (view source)