Self-adaptive segmentation method based on crack image subarea gray scale mean value
A gray-scale average and self-adaptive technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of low algorithm complexity and poor reliability
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0036] The present invention will be further described below in conjunction with the accompanying drawings.
[0037] refer to Figure 1 ~ Figure 4 , an adaptive segmentation method based on the average gray level of crack image sub-regions, including the following steps:
[0038] 1) Analyze the crack image features.
[0039] The gray histogram of a digital image is a function of the gray level of the image, which describes the number of pixels of each gray level in the image, reflects the frequency of each gray level in the image, and is the main tool for analyzing image features. A digital image histogram with a gray level in the range [0,L-1] is a discrete function h(r k ) = n k , the normalized histogram is P(r k ) = n k / n, where n is the total number of pixels in the image, n k is the gray level in the image is r k The number of pixels, r k is the kth gray level, According to this definition, programming calculates the gray histogram h(r) for different regions o...
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