Morphological operators for segmentation of high contrast textured regions in remotely sensed imagery
|Professorship/Faculty:||Juniorprofessur für Informationsverarbeitung in der Geoarchäologie||Author(s):||Zingman, Igor; Saupe, Dietmar; Lambers, Karsten||Title of the compilation:||Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, July 22‐27, 2012||Corporate Body:||IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, July 22‐27, 2012||Publisher Information:||IEEE||Year of publication:||2012||Pages / Size:||S. 3451 - 3454||Language(s):||English||DOI:||10.1109/IGARSS.2012.6350678||URL:||http://www.uni-bamberg.de/fileadmin/ivga/Lamber...||Document Type:||Conferenceobject||Abstract:||
We develop a transformation based on morphological filters
that measures the contrast of image texture. This ransforma
tion is proportional to texture contrast, but insensitive to its specific type. Though the transformation provides a high response in textured areas, it suppresses individual high contrast features that stand apart from textured areas. It can serve as an effective texture descriptor for unsupervised or supervised segmentation of textured regions, provides high accuracy of localization and does not involve heavy computations. The method is robust to variations of illumination and works on
different types of images without needing to be tuned. The only parameter is a scale related parameter. We illustrate the use of the proposed method on satellite and aerial images.
|Keywords:||texture detection, texture segmentation, texture contrast descriptor, morphological filters||URI:||https://fis.uni-bamberg.de/handle/uniba/735||Release Date:||16. November 2012|