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Quantitative image analysis: applications using sequential transformations.

R Nawrath, J Serra

    Microscopica Acta
    |September 1, 1979
    PubMed
    Summary
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    This study introduces sequential image transformations for morphological analysis, a novel approach using macroinstructions for efficient quantitative image analysis. This method is demonstrated through diverse applications like fiber analysis and cell separation.

    Area of Science:

    • Image Analysis
    • Materials Science
    • Biotechnology

    Background:

    • Quantitative image analysis relies on theoretical foundations and device implementation.
    • Mathematical Morphology is a key area with recent advancements.

    Purpose of the Study:

    • To introduce sequential image transformations as a new approach in morphological analysis.
    • To demonstrate the utility of this method in various image analysis applications.

    Main Methods:

    • Utilizing elementary transform steps hardwired in devices.
    • Implementing specific sequences as macroinstructions in a programming language.
    • Defining these sequences as 'morphological functions'.

    Main Results:

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  • Sequential image transformations offer a powerful tool for image analysis.
  • The approach is versatile, applicable to diverse problems.

    • Conclusions:

    • Morphological functions provide an effective strategy for quantitative image analysis.
    • This method enhances the analysis of complex structures like fibers, metallic grains, cells, and minerals.