GrainAutLine: An environment for semi-automatic processing of marble thin section images

Kristóf Csorba, Ádám Budai, Judit Zöldföldi, Balázs Székely

Research output: Contribution to journalArticle


GrainAutLine is an interdisciplinary microscopy image analysis tool with domain specific smart functions to partially automate the processing of marble thin section images. It allows the user to create a clean grain boundary image which is a starting point of several archaeometric and geologic analyses. The semi-automatic tools minimize the need for carefully drawing the grain boundaries manually, even in cases where twin crystals prohibit the use of classic edge detection based boundary detection. Due to the semi-automatic approach, the user has full control over the process and can modify the automatic results before finalizing a specific step. This approach guarantees high quality results both in cases where the process is easy to automate, and also if it needs more help from the user. This paper presents the basic operation of the system and details about the provided tools as a case study for an interdisciplinary, semi-automatic image processing application.

Original languageEnglish
Pages (from-to)305-311
Number of pages7
JournalPeriodica Polytechnica Electrical Engineering and Computer Science
Issue number4
Publication statusPublished - Nov 15 2017


  • Grain boundary
  • Marble
  • Semi-automatic segmentation
  • Software tool
  • Thin section

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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