Research on Human Brain Image Segmentation Technology

This research explores human brain image segmentation through a three-stage computational approach: a) Filtering raw 2D medical images and reconstructing them into 3D volumetric data structures. b) Implementing multi-threshold segmentation algorithms to determine optimal dual thresholds for binarizing 3D volumes, extracting brain tissue regions. c) Applying mathematical morphology operations and seed-filling algorithms for region refinement, ultimately achieving high-quality 3D brain segmentation with volumetric visualization capabilities.

Research on Face Recognition Methodology

Investigation of Face Recognition Technology Combining Local Ternary Pattern Features with Distance Transform-Based Similarity Metrics

Research on Image Watermarking Technology

Investigation of Digital Image Watermarking Methods with Implementation Approaches

Research and Simulation of Vector Control Technology for AC Motors

Research and MATLAB simulation of vector control technology for asynchronous motors, including implementation of field-oriented control algorithms and system modeling