Waste mobile phone color identification method based on deep convolutional neural network
A technology of deep convolution and color recognition, applied in biological neural network models, neural architecture, character and pattern recognition, etc., to achieve the effect of accelerating the circulation process, improving efficiency, and reducing the difficulty of classification learning
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0041] A method for identifying the color of waste mobile phones based on a deep convolutional neural network, which realizes accurate identification of the color of mobile phones by designing a deep convolutional network structure, is characterized in that it includes the following steps:
[0042] (1) The input variables of the selection and mobile phone color recognition model are: the abscissa x of the pixel of the input image sample; the y coordinate of the pixel of the input image sample; the pixel (x, y) of the red channel pixel matrix of the input image sample pixel value i r (x, y); the pixel value i of the pixel point (x, y) in the green channel pixel matrix of the input image sample g (x, y); the pixel value i of the pixel point (x, y) in the blue channel pixel matrix of the input image sample b (x,y);
[0043] (2) Establish a hexagonal pyramid high-dimensional space color conversion model
[0044]
[0045]
[0046]
[0047] In the formula: α t+1 (x, y) ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com