Open AccessGrainAutLine: an Environment for Semi-Automatic Processing of Marble Thin Section Images
Author(s) -
Kristóf Csorba,
Ádám Budai,
Judit Zöldföldi,
Balázs Székely
Publication year - 2017
Publication title -
periodica polytechnica. electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.158
H-Index - 13
eISSN - 2064-5279
pISSN - 2064-5260
DOI - 10.3311/ppee.10890
Subject(s) - computer science , image processing , section (typography) , semi automatic , process (computing) , edge detection , enhanced data rates for gsm evolution , domain (mathematical analysis) , thin section , point (geometry) , fully automatic , computer vision , artificial intelligence , boundary (topology) , image (mathematics) , computer graphics (images) , engineering drawing , geology , engineering , mechanical engineering , operating system , mineralogy , mathematical analysis , geometry , mathematics
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.