The logconv filter implements an algorithm for edge detection developed in 1989 by Sotak and Boyer (read the article in Computer Vision, Graphics, and Image Processing 48, pgg. 147-189). The Laplacian ...

Edge detection can be define as a process of finding and tracing sharp discontinuities in the image. It has been widely used in object recognition, feature extraction, and image analysis. For example, ...

LOG filter for image edge detection consists of Gaussian filter and Laplace operator. Based on the central limit theorem and the separating characteristic of two dimensional Gaussian filter, Gaussian ...

Learn how to handle Gaussian, salt-and-pepper, and speckle noise in edge detection using filters and methods. Evaluate and apply edge detection in image processing.

The quantum image edge detection algorithm is based on quantum state encoding and quantum convolution principles. It maps image pixel information into quantum state vectors and performs feature ...

Researchers realized a new, tuneable edge-detecting filter for flat-optic imaging systems that can switch between an image of an object's outline and a detailed infrared image.

LOG filter for image edge detection consists of Gaussian filter and Laplace operator. Based on the central limit theorem and the separating characteristic of two dimensional Gaussian filter, Gaussian ...