2 results about "Weighted median filtering" patented technology

This application provides a method for measuring and analyzing the accuracy of a stereotactic radiotherapy system. The method involves sequentially performing geometric transformations on film images to calibrate the S-L and S-A directions, adaptively correcting positioning errors, purifying the target region through multi-dimensional interference removal, and denoising using normalization and adaptive weighted median filtering. Then, improved fuzzy C-means clustering with fused dual images is used to segment and output label images. Gray-level classification is used to extract the radiation field and tungsten sphere contours. After morphological optimization, the centroid position deviation is calculated. The system accuracy analysis is then completed by combining the S-L and S-A dual film deviations. This application solves the problems of inaccurate contour recognition and large centroid calculation errors in traditional detection methods, significantly improving the accuracy, stability, and robustness of the detection. The steps are clear, the parameters are quantified, and the method is repeatable, providing efficient and accurate technical support for AQA detection in radiotherapy systems.

The application relates to the technical field of parameter adjustment, and discloses a robot parameter adjustment optimization system and method applied to appearance detection. First, an initial product image set to be detected is acquired, an improved weighted median filtering algorithm and a hybrid detection algorithm are used for target region segmentation and extraction, and a processed product image set to be detected is obtained; second, pixel point coordinates in the processed product image set to be detected are converted into a world coordinate system, spatial coordinates of robot joints in the world coordinate system are determined, and an associated matrix of a robot connecting rod is generated; third, a robot connecting rod end parameter data sequence is determined, a target function is established based on a shortest time principle; and finally, an education competition optimization algorithm is used to solve the target function, optimized robot parameters are generated, and robot parameter adjustment optimization is completed. The application realizes the purpose of robot parameter adjustment optimization by processing and analyzing robot parameters, and the method is objective and accurate.