1results about How to "Prevent oversegmentation" patented technology

This invention relates to a point cloud instance segmentation method for Torreya grandis seedlings that integrates deep learning and adaptive clustering. Addressing the challenge of instance segmentation caused by the long, dense, and heavily occluded leaves of Torreya grandis seedlings, this invention proposes an innovative framework: First, multi-view images are acquired using consumer-grade devices, and high-precision 3D reconstruction is achieved using 3D Gaussian sputtering technology. Then, a dedicated neural network, Torreya grandisSegNet, is designed for semantic segmentation. Its core includes a dual-attention kernel point convolution module and an adaptive enhanced inverse residual MLP module, enhancing the feature extraction capability for complex needle-like structures. In the instance segmentation stage, the Newton-Raphson optimization algorithm is introduced to improve DBSCAN clustering, enabling automatic search for the optimal parameter combination for initial segmentation. Finally, overlapping leaves are processed through topological skeleton analysis to complete refined instance separation. This method significantly improves the accuracy and adaptability of point cloud segmentation for coniferous plants, providing reliable technical support for the selection of superior Torreya grandis varieties.