Explore MATLAB source code curated for "定位" with clean implementations, documentation, and examples.
Horizontal and vertical projection segmentation is crucial for license plate localization! This technique plays a vital role in separating character regions from background areas through pixel distribution analysis.
This program computes localization and tracking for robotic systems. A complete MATLAB simulation is achievable using the same codebase, featuring algorithms for position estimation and motion tracking.
The IMM (Interacting Multiple Model) algorithm for accurate maneuvering target tracking and localization, which incorporates three typical sub-models: CV (Constant Velocity), CT (Constant Turn), and CA (Constant Acceleration).
A MATLAB-based underwater acoustic beamforming program that implements beam incident angle localization functionality through signal processing algorithms.
MATLAB-based face detection and localization system implemented through M-files with high accuracy, employing computer vision algorithms for robust facial feature identification.
We implement a versatile and efficient circle detection algorithm using Hough Transform principles, applying it to iris image analysis for precise localization of both inner and outer iris boundaries through optimized parameter space exploration and voting mechanisms.
PDF417 barcode localization and detection, video course assignment, achieves precise barcode positioning with rotational correction to upright orientation
MATLAB-based algorithm implementation for face detection and eye localization, utilizing skin color segmentation to identify facial regions followed by precise eye position determination.
QR Code, as a high-speed, omni-directionally recognizable two-dimensional barcode, has been applied across various industries and holds significant development potential. This study addresses challenges in QR code image recognition, including image noise interference, partial QR code presence in captured images, tilt, and geometric distortion. It proposes an enhanced median filtering approach for noise removal, utilizes QR code symbol characteristics for positioning and tilt correction through rotation, and employs control point transformation with bilinear interpolation for geometric correction in mildly distorted images. Experimental results demonstrate that the proposed method is simple yet effective, significantly improving barcode recognition accuracy.
This program performs rough localization of lip feature points by first conducting edge detection on lip images, then utilizing geometric characteristics for positioning. The implementation involves analyzing contour features and employing coordinate calculation algorithms to identify key landmark positions.