Ring object counting method based on Hough circle transformation
A ring object and counting method technology, applied in the field of image processing, to achieve the effect of fast counting, small size, and avoiding cumulative errors
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0013] For the convenience of describing the content of the present invention, here at first some prior art terms are explained:
[0014] Maximum between-class variance method. The maximum inter-class variance method is a method of adaptive threshold determination, also known as the Otsu method, referred to as OTSU, which is a global-based binarization algorithm, which divides the image into foreground and background according to the grayscale characteristics of the image. two parts. When the optimal threshold is taken, the difference between the two parts should be the largest, and the standard used to measure the difference in the OTSU algorithm is the more common maximum inter-class variance. If the inter-class variance between the foreground and the background is larger, it means that the difference between the two parts of the image is greater. When part of the target is misclassified as the background or part of the background is misclassified as the target, it will cau...
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