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Preprocessing Filters for Stable Machine Vision Detection and Measurement

By: Keyence Corporation of America

This 12 page, Vol. 2 of the 50 Key Solutions Guide from KEYENCE introduces the various types of preprocessing filters which are used to enhance captured images for measurement. It describes their functionality, and includes application examples of their implementation.

Why Use Preprocessing Filters?
Preprocessing filters are an essential part of obtaining stable vision system inspections. There are various types of filters that create numerous types of effects and some may be used together with others to create a combination of effects. Selecting preprocessing filters with an understanding of their characteristics and functionality leads to increased detection stability.

A Preview of Guide Content
In Volume 2 of this illustrated guide you’ll find answers on how to:

  • Inspect stably for foreign objects in the presence of interfering backgrounds and borders.
  • Perform OCR inspections.
  • Detect burrs on semiconductor lead frames
  • Accurately detect transparent edges
  • Eliminate shading variations on metal surfaces
  • Enhance and detect flaws and defects on transparent surfaces
  • Perform stable, accurate print inspections
  • …and much more.

    Descriptions of Filter Functions
    The guide also describes the various types of filter functions built into the KEYENCE CV-5000 Vision System. The function of the Image Extraction Filter is described and examples of how it is used are shown. Additional preprocessing filter functions and explanations are included such as the Subtraction Filter, several types of Edge Extraction Filters, the Preserve Intensity Filter, and the Average Median Filters. The 50 Key Solutions Guide also explains how gain adjustment works with color cameras.

    View/download guide.

     

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