一种结合先验信息约束的苹果图像匹配方法
By combining the OT-APPLE image matching method with prior information constraints and utilizing the optimal transmission matching method with angle and length constraints, the problems of accuracy and computational resources in image feature point matching in the prior art are solved, and efficient image matching and fruit quality detection are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG UNIV
- Filing Date
- 2024-05-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing image feature point matching methods have difficulties in handling varying curvature and discretized point clouds, making them unsuitable for complex and changing environments, and they consume significant computational resources and time.
The OT-APPLE image matching method, which incorporates prior information constraints, is adopted. By constructing an image matching model, introducing angle and length constraints, and using the optimal transmission matching method for iteration, the accuracy and reliability of the matching are improved.
It achieves optimal matching from one feature set to another, improving the accuracy and reliability of image matching, and providing a reliable reference for the external quality detection and grading of spherical fruits.
Smart Images
Figure CN118521619B_ABST