Edge detection includes a variety of mathematical methods that aim at identifying edges, defined as curves in a digital image at which the image brightness...

The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by...

further details. Gaussian smoothing is commonly used with edge detection. Most edge-detection algorithms are sensitive to noise; the 2-D Laplacian filter...

the entire image, or a set of contours extracted from the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic...

filter or similar edge-detection filter is applied to the normal and depth textures to generate an edge texture. Texels on detected edges are black, while...

and computer vision, particularly within edge detection algorithms where it creates an image emphasising edges. It is named after Irwin Sobel and Gary...

image such as points, edges or objects. Features may also be the result of a general neighborhood operation or feature detection applied to the image....

times of any such changes. Specific applications, like step detection and edge detection, may be concerned with changes in the mean, variance, correlation...

edge detection is to determine the number of edge pixels in a specified region, helps determine a characteristic of texture complexity. After edges have...

edges in digital images, that is, continuous curves where there are strong and rapid variations in image brightness. The Marr–Hildreth edge detection...

order of lines U = X and Y; and Z = not U; doesn't change the result. node Edge (X : bool) returns (E : bool); let E = false -> X and not pre X; tel Esterel...

or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel...

ACO algorithm is used in image processing for image edge detection and edge linking. Edge detection: The graph here is the 2-D image and the ants traverse...

of the image intensity will necessarily be orthogonal to the edge. Since edge detection generally involves computing the intensity gradient magnitude...

edge detector is an edge detection operator developed by Rachid Deriche in 1987. It is a multistep algorithm used to obtain an optimal result of edge...

is used in image processing and computer vision for edge detection. It was one of the first edge detectors and was initially proposed by Lawrence Roberts...

has been used to explain why we see bands of increased brightness at the edge of a color difference when viewing Mach bands. Once a receptor is active...

mathematically equivalent to the edge detection algorithms used by computer programmers to extract or enhance the edges in a digital photograph. Thus, the...

signal processing, step detection (also known as step smoothing, step filtering, shift detection, jump detection or edge detection) is the process of finding...

regions, which is not obtained from edge detectors or corner detectors. In early work in the area, blob detection was used to obtain regions of interest...

represent all appearances of an object. Uses edge detection techniques, such as the Canny edge detection, to find edges. Changes in lighting and color usually...

speaking, one can define a corner as the intersection of two edges. A variety of corner detection algorithms exist that formalize this notion into concrete...

The Prewitt operator is used in image processing, particularly within edge detection algorithms. Technically, it is a discrete differentiation operator,...

edge detection on an image). Median filtering is very widely used in digital image processing because, under certain conditions, it preserves edges while...

Laplacian operator has been used for various tasks, such as blob and edge detection. The Laplacian is the simplest elliptic operator and is at the core...

navigation of mobile robots, or edge detection in images. The main challenges in a template matching task are detection of occlusion, when a sought-after...

for tasks such as blob detection, corner detection, ridge detection, edge detection and spatio-temporal interest point detection (see the specific articles...

recognition. Corner detection overlaps with the topic of interest point detection. A corner can be defined as the intersection of two edges. A corner can also...

– which is defined as a noisy point-wise initial estimate, through edge-detection, of the given image. In the second stage, the CS reconstruction model...

blocks in image processing. For example, the Canny edge detector uses image gradient for edge detection. In graphics software for digital image editing,...