Multi-threshold segmentation method for medical images based on improved salp swarm algorithm
US11983885B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2021 |
| Grant date | May 14, 2024 |
| Priority date | — |
| Expiry date | Jan 3, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The invention discloses a multi-threshold segmentation method for medical images based on an improved salp swarm algorithm. A two-dimensional histogram is established by means of a grayscale image of a medical image and a non-local mean image, then a salp swarm algorithm is used to determine thresholds selected by a Kapur entropy-based threshold method, and the salp swarm algorithm is improved and mutated by an individual-linked mutation strategy during the threshold selection process to avoid local optimization, so that the segmentation effect on the medical image is optimized; and the method has the advantages of good robustness and high accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.