Title :
Semantic image segmentation using morphological tools
Author_Institution :
Fac. de Ingenieria, Univ. de la Republica, Montevideo, Uruguay
Abstract :
In this work, we study the extraction of semantic objects using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Specifically, from all the level lines we extract the ones that contain T-junctions, have compact form, and are well-contrasted to obtain the semantic objects in the scene. For all these factors, we establish an estimation procedure.
Keywords :
edge detection; image segmentation; mathematical morphology; object detection; T-junctions; borders; compact forrn; contrast; estimation procedure; level lines; level sets; morphological tools; scene; semantic image segmentation; semantic objects; Data mining; Feature extraction; Filtering; Image coding; Image databases; Image segmentation; Image texture analysis; Layout; Level set; Partitioning algorithms;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1040058