Lineament {Detection} in {Geological} {Images} {Using} the {A}* {Algorithm}

@inproceedings{hussain_lineament_RM2024,
 abstract = {We present a novel application for lineament detection using an interactive graphical user interface (GUI). The application allows users to load an image, set start and end points, and utilize the A* search pathfinding algorithm. The image processing pipeline involves converting the original image, or the image pre-processed with suitable filters or transforms, to grayscale, then the A* algorithm calculates the optimal path according to some suitable cost function, defined according to the characteristics of the (pre-processed) image. Typical preprocessing involves enhancing edges using the Canny edge detector, smoothing with a Gaussian filter, but more advanced processing can be used, for instance with wavelets or shearlets. This tool can be used for guided autotracking digitization in a variety of images, from Digital Outcrop Models to seismics, and will become part of the more extensive opensource software PZero (github.com/gecos-lab/PZero).},
 author = {Hussain, Waqas and Monti, Riccardo and Mittempergher, Silvia and Benedetti, Gabriele},
 booktitle = {Proc. 2024 RING Meeting},
 language = {en},
 pages = {27},
 publisher = {ASGA},
 title = {Lineament {Detection} in {Geological} {Images} {Using} the {A}* {Algorithm}},
 year = {2024}
}