We propose and compare different image processing approaches for an automatic pith detection using CT-Cross-Section images of logs. Our techniques apply different image preprocessing approaches as well as different actual pith detection methods. Besides acquiring knowledge about the anatomical centre of a log, determination of pith position is often a preliminary step for further automated detection of wood characteristics, like annual ring features or compression wood areas.