Machine Vision Algorithms
Carsten T. Steger · 2006
This chapter contains sections titled: Fundamental Data Structures Images Regions Subpixel-Precise Contours Image Enhancement Gray Value Transformations Radiometric Calibration Image Smoothing Geometric Transformations Affine Transformations Projective Transformations Image Transformations Polar Transformations Image Segmentation Thresholding Extraction of Connected Components Subpixel-Precise Thresholding Feature Extraction Region Features Gray Value Features Contour Features Morphology Region Morphology Gray Value Morphology Edge Extraction Definition of Edges in 1D and 2D 1D Edge Extraction 2D Edge Extraction Accuracy of Edges Segmentation and Fitting of Geometric Primitives Fitting Lines Fitting Circles Fitting Ellipses Segmentation of Contours into Lines, Circles, and Ellipses Template Matching Gray-Value-Based Template Matching Matching Using Image Pyramids Subpixel-Accurate Gray-Value-Based Matching Template Matching with Rotations and Scalings Robust Template Matching Stereo Reconstruction Stereo Geometry Stereo Matching Optical Character Recognition Character Segmentation Feature Extraction Classification