MATLAB Example of GS Algorithm Implementation
MATLAB implementation example of GS algorithm, simulating a circular halo structure with detailed parameter configuration as documented in MATLAB code comments
MATLAB Image Recognition Implementation Using Matrix Computations
Image recognition system that processes geometric shapes through matrix operations, capable of distinguishing triangles, ellipses, circles, rectangles, and other regular geometric forms using MATLAB's image processing toolbox functions like regionprops and bwlabel.
Recognition of Various Geometric Shapes in Images
Identification of diverse geometric shapes in images including circles, squares, rectangles, hexagons, and diamonds using computer vision techniques
Edge Detection Using Canny Operator with Sub-pixel Refinement for Dimensional Measurement
Dimensional measurement of circular and hole-type workpieces implemented through Canny operator edge detection, sub-pixel refinement algorithms, and GUI interface, achieving measurement accuracy of 0.1mm with optimized image processing techniques.
Circle Extraction Using Hough Transform
Hough Transform provides effective circle detection with optimized processing speed, including implementation insights using OpenCV's HoughCircles function
Calculation of Foundation Deformation under Circular Vertical Loading Using Triangular Axisymmetric Elements
Triangular axisymmetric element analysis for foundation deformation under circular vertical loads