Cellular nerve network with genetic algorithm (GACNN)-based multisource image fusion method
A neural network and genetic optimization technology, applied in biological neural network models, image data processing, graphics and image conversion, etc., can solve problems such as unused image fusion
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0064] ① Read in the original source image, and implement mapping processing on the preprocessed image, so that the values of all pixels are normalized between [-1.0, +1.0], which meets the input requirements of the CNN network, and image gray value mapping processing The formula is as follows:
[0065] u ij =1-2g ij / 255, where g ij Indicates the pixel value of row i and column j of the source image. (1)
[0066] ②According to the size of the input image, determine the size of the cell neighborhood of the network, thereby determining the structure of the network. In this embodiment, the size of the neighborhood of the cells used is 3×3. According to the discrete state equation of the fusion processing of the static image :
[0067] x ij ( n ) - x ij ( n - 1 ) =...
PUM

Abstract
Description
Claims
Application Information

- Generate Ideas
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com