Hands-on Morphological Image Processing

By Edward R. Dougherty, Roberto de Alencar Lotufo. 2003

593 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/3cbe349584da463a2ad1cf3d7b8aa69eb896e680

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1. Luciano da Fontoura Costa
2. Francisco Aparecido Rodrigues
3. Gonzalo Travieso
4. P. R. Villas Boas
5. Peng Gong
6. Doo-Ahn Kwak
7. G. Biging
8. Jun-Hak Lee

Citations in the corpus

• Practical methods for measuring the tortuosity of porous materials from binary or gray‐tone tomographic reconstructions (2009, unknown): “The geodesic distance between two points belonging to a given set is the length of the shortest path between these two points that is included in the set.(9,11) This is illustrated in Figure B1 in the case of a model image obtained by randomly dropping disks in an image (Figure B1, a), which is the ”
• Detection of individual trees and estimation of tree height using LiDAR data (2007, background): “For successful delineation, selecting a suitable marker and input function are important (Dougherty and Lotufo 2003).”
• Characterization of complex networks: A survey of measurements (2005, background): “Using concepts of mathematical morphology [66, 67, 68, 69], it is possible to extend some of the traditional measures and develop new ones [7 0, 71].”