1. Machine Vision

2. Image Acquisition > Resolution Ability of a scanning system to distinguish between 2 closely separated points. > Contrast Ability to detect shades of difference from pixel to pixel. The lowest quality machine vision system uses a simple two-state sensor that registers each pixel as being either black or white.

5. Image Analysis Techniques > Windowing Concentrating vision system analysis on a small field of view to conserve computer resources of run time & storage. > Thresholding Reducing an image to binary black or white pixels. > Histogramming A frequency histogram is constructed for the pixel counts at each level of gray accommodated by the system.

7. Edge Detection > Binary Logic Search Guide a search through an image, one pixel at a time, as the search finds an edge, it will follow it completely around the object. > Local Edge Elements Roberts Cross-Operator Template & Filters

9. Roberts Cross-Operator Computes the square root of the sum of the squares of the adjacent diagonal differences between pixel gray-scale values.

14. Filter Small template for finding a “Vertical” edge. -101 -101 -101 Find the sum of products of each point in the image matrix with all points in the filter matrix.