A template selection and accelerated matching method for nonlinear color space classification
A color space and matching method technology, applied in the field of image processing, can solve the problems of reduced practicality and long execution time
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0033] The invention will be further described below in conjunction with the accompanying drawings and specific implementation examples. The present invention proposes a template selection and accelerated matching method for nonlinear color space classification, including model training and image segmentation processes, such as figure 1 As shown, the specific steps are as follows:
[0034] Model training process:
[0035] Step 1: Collect training image samples, extract the CIE chromaticity diagram of the training image samples, and obtain each Macadam ellipse, record it as a color area, extract the RGB value corresponding to each color area, and manually mark the color category number to which it belongs;
[0036] Color images have more information space than grayscale images. Most of the existing color image matching methods often use linear formulas to calculate the similarity between colors. For example, CFAST uses the Euclidean distance between RGB to calculate the similar...
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