This paper proposes a distributed Canny edge detection algorithm which can be mapped onto multi-core architectures for high throughput applications. In contrast to the conventiona...
This paper introduces the discrete singular convolution (DSC) algorithm for edge detection. Two classes of new edge detectors, DSC edge detector (DSCED) and DSC anti-noise edge de...
: A combination of K-means, watershed segmentation method, and Difference In Strength (DIS) map was used to perform image segmentation and edge detection tasks. We obtained an init...
Real images are often corrupted by noise from various sources. Bilateral filtering is a nonlinear filter that considers intensity variations as well as spatial closeness in the no...
Interactive edge detection is used in both graphics art tools and in tools for building anatomical models from serially sectioned images. To build models, contours are traced and ...
Eric Neufeld, Haruna Popoola, David Callele, David...
In this paper we present an algorithm for a glass-painting filter. The filter inputs any arbitrary 2D image and converts it into its equivalent glass painted form. The initial ima...
Adaptive methods are defined and experimentally studied for a two-scale edge detection process that mimics human visual perception of edges and is inspired by the parvo-cellular (...
Edge detection in computer vision and image processing is a process which detects one kind of signi cant features appearing as discontinuities in intensities. A parallel edge detec...
A fundamental question for edge detection is how faint an edge can be and still be detected. In this paper we offer a formalism to study this question and subsequently introduce a...
We describe a technique for extracting vertices from range images of cluttered box-like objects. Edge detection is performed and an edge map is acquired. Extraction of vertices is ...