Edge extracting method and apparatus using diffusion neural network
US5548662A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Nov 24, 1993 |
| Grant date | Aug 20, 1996 |
| Priority date | — |
| Expiry date | Nov 24, 2013 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.