Method for dividing level set image based on characteristics of neighborhood probability density function
A technology of probability density function and image segmentation, which is applied in the field of image processing, can solve the problems of inability to accurately segment natural texture images, and cannot effectively deal with the variability of texture scale and texture direction of natural image texture primitives, and achieve the effect of accurate segmentation
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0027] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0028] Step 1. Initialize the level set function φ 0 .
[0029] Select any area R in the input image I as the initial target area, and the area I-R outside the initial target area is the initial background area, and the initial level set function φ 0 :
[0030] φ 0 ( x , y ) = - c , ( x , y ) ∈ R c , else
[0031] Among them, c is a normal number, and the level set function φ 0 (x, ...
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