Canny Edge Detection Algorithm
Canny edge detection algorithm calculates image gradients and reconstructs edges using wavelet modulus maxima, providing robust edge extraction with minimal false positives.
Implementing Watershed Algorithm Through Three Distinct Approaches
Three watershed algorithm implementations for image segmentation: basic watershed segmentation, gradient-based two-phase watershed, and gradient-with-mask three-phase watershed algorithm
Linear Programming Including the Simplex Method
Linear programming encompasses the simplex method, gradient descent, and Newton's method for optimizing linear objective functions under constraints.
NEDI Edge Interpolation
Edge-based interpolation applying bilinear interpolation for flat regions and weighted interpolation for edge regions, using gradient information for region discrimination
Gradient-Based HOG Feature Implementation
Comprehensive code implementation for HOG features with gradient computation, suitable for computer vision applications