  We present a method for automatised detection and analysis of quasi-periodic
lineament structures from images at pixel-precision. The method exploits
properties of the images' frequency domain found by using the Fourier
transform. We developed this method with the goal of detecting lineament
structures in an image of the Hathor cliff of comet 67P/Churyumov-Gerasimenko,
which are caused by layerings and furrows in the nucleus material. Using our
method, we determined the orientation and wavelength-range of these structures.
The detected layering edges have similar orientations, spatial separations of
9-20 m, and are ubiquitous throughout the image. We suggest that the layerings
are a global feature of the comet nucleus that provide information about
formation and evolution of comet 67P. The furrows are non-uniformly distributed
throughout the image. Their orientation is broadly parallel to the direction of
the local gravity vector at the Hathor cliff, with spacings similar to that of
the layering structures. The furrows are interpreted as signatures of local
down-slope movement of cliff material. We demonstrate that the developed method
is broadly applicable to the detection and analysis of various kinds of
quasi-periodic structures like geological layering, folding and faulting, and
texture analysis in general. In order to facilitate the application of our
method, this paper is accompanied by a demo program written in Matlab.
