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Edge Detection based on Kernel Density Estimation
[article]
2014
arXiv
pre-print
Edges of an image are considered a crucial type of information. These can be extracted by applying edge detectors with different methodology. Edge detection is a vital step in computer vision tasks, because it is an essential issue for pattern recognition and visual interpretation. In this paper, we propose a new method for edge detection in images, based on the estimation by kernel of the probability density function. In our algorithm, pixels in the image with minimum value of density function
arXiv:1411.1297v1
fatcat:tcmg54drnvf6dk5yfbqbrcgzna