Image analysis – Learning systems – Neural networks
Patent
1993-11-24
1996-08-20
Couso, Yon J.
Image analysis
Learning systems
Neural networks
382156, G06K 962
Patent
active
055486622
ABSTRACT:
Edge extracting method and apparatus using a neural network performing a function of diffusing an excitation. The method and apparatus continuously detect a variety of intensity changes of an image via a function having a variety of frequency characteristics. An edge of a fixed object is detected from images continuously input, and an edge of a moving object is selectively detected from the images. The edge extracting apparatus includes a first neural network which receives an image signal. The first neural network derives a Gaussian function representing the regularity of an excitatory response and an inhibitory response to a spot excitation of the image signal. The apparatus also includes a second neural network which detects edges of an image represented by the image signal by convolving the Gaussian function and the image signal.
REFERENCES:
patent: 4472786 (1984-09-01), Larson
patent: 4803736 (1989-02-01), Grossberg et al.
patent: 4972495 (1990-11-01), Blike et al.
patent: 5101440 (1992-03-01), Watanabe
patent: 5109425 (1992-04-01), Lawton
patent: 5121443 (1992-06-01), Tomlinson
patent: 5142592 (1992-08-01), Moler
patent: 5259038 (1993-11-01), Sakou
patent: 5311600 (1994-05-01), Aghajan
Couso Yon J.
LG Electronics Inc.
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