Shorextractor: um aplicativo desktop para extração automática de linhas de costa

Abstract

Due to the phenomena of coastal erosion and high population density in coastal areas around the globe, the use of shoreline detection is a constant in the work of professionals in the area of oceanography, with regard to monitoring accretion or regression phenomena. coastal. The main objective of this work was to develop a computational algorithm to perform the shoreline extraction automatically. For that, it was decided to use Digital Image Processing techniques, such as the Gaussian Filter, Morphological Transformation and Image Binarization (threshold). In addition to these, the Canny edge detector method was used, as it smoothes noise and locates edges, combining a differential operator with a Gaussian filter. That said, the algorithm proved to be effective, with an accuracy close to the coastline extracted by a photointerpreter.