1 / 14

Machine Vision

Machine Vision.

carlosmiddleton
Download Presentation

Machine Vision

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Machine Vision

  2. Image Acquisition> Resolution Ability of a scanning system to distinguish between 2 closely separated points.> ContrastAbility 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.

  3. Image Analysis Techniques > WindowingConcentrating vision system analysis on a small field of view to conserve computer resources of run time & storage. > ThresholdingReducing an image to binary black or white pixels. > HistogrammingA frequency histogram is constructed for the pixel counts at each level of gray accommodated by the system.

  4. Edge Detection > Binary Logic SearchGuide 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

  5. Roberts Cross-OperatorComputes the square root of the sum of the squares of the adjacent diagonal differences between pixel gray-scale values.

  6. FilterSmall template for finding a “Vertical” edge. -1 0 1 -1 0 1 -1 0 1Find the sum of products of each point in the image matrix with all points in the filter matrix.

More Related