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PR
2002
120views more  PR 2002»
8 years 3 months ago
A new approach to edge detection
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...
Z. J. Hou, Guo-Wei Wei
MVA
2007
137views Computer Vision» more  MVA 2007»
8 years 4 months ago
Object Based Contour Detection by Using Graph-cut on Stereo Image
In the last few years, computer vision and image processing techniques have been developed to solve many problems. One of them, graph cut method is powerful optimization technique...
Taehoon Kang, Jaeseung Yu, Jangseok Oh, Yunhwan Se...
ICAPR
2005
Springer
8 years 9 months ago
Designing a Fast Convolution Under the LIP Paradigm Applied to Edge Detection
The Logarithmic Image Processing model (LIP) is a robust mathematical framework for the processing of transmitted and reflected images. It follows many visual, physical and psycho...
José M. Palomares, Jesús Gonzá...
CEC
2008
IEEE
8 years 9 months ago
Creating edge detectors by evolutionary reinforcement learning
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...
Nils T. Siebel, Sven Grünewald, Gerald Sommer
ICIP
2003
IEEE
9 years 5 months ago
Geometric segmentation of 3D structures
Segmentation in volumetric images deals with separating `objects' from their `background' in a given 3D data. Usually, one starts with `edge detectors' that give bi...
Ron Kimmel
CVPR
1996
IEEE
9 years 5 months ago
Comparison of Edge Detectors: A Methodology and Initial Study
Michael D. Heath, Sudeep Sarkar, Thomas A. Sanocki...
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