Automated Analysis Of Polymer Mixing Using An Industrial Vision System

Rolf David Iverson; Frederick M. Waltz

doi:10.1117/12.938295

17 November 1986 Automated Analysis Of Polymer Mixing Using An Industrial Vision System

Rolf David Iverson, Frederick M. Waltz

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Proceedings Volume 0654, Automatic Optical Inspection; (1986) https://doi.org/10.1117/12.938295
Event: 1986 International Symposium/Innsbruck, 1986, Innsbruck, Austria

Abstract

High-quality polymer production depends on thorough and uniform mixing of the raw materials. Effective research on the mixing process requires precise, repeatable, and objective measurements of "mixing quality". The accepted technique for measuring mixing quality in the early stages of the mixing process is to load the extruder with raw materials in two contrasting colors, and to extract samples of the "mix" at various points along the extruder. Photographs of these samples are then evaluated visually to determine the statistics of the length and width distributions of the striations produced by the two colors. Direct methods of performing this analysis are highly subjective and are extremely labour-intensive. An image analysis technique that mimics the direct measurement method and computes the length and width histograms is presented. The technique uses an industrial vision development system, which carries out a grey-level-encoded skeletonizing process. Examples of processed images and results are included.

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Rolf David Iverson and Frederick M. Waltz "Automated Analysis Of Polymer Mixing Using An Industrial Vision System", Proc. SPIE 0654, Automatic Optical Inspection, (17 November 1986); https://doi.org/10.1117/12.938295

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KEYWORDS

Image segmentation

Polymers

Image processing

Image compression

Statistical analysis

Binary data

Image acquisition

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