Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geodesic Saliency of Watershed Contours and Hierarchical Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Watershed-based segmentation and region merging
Computer Vision and Image Understanding
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Watershed identification of polygonal patterns in noisy SAR images
IEEE Transactions on Image Processing
Flat zones filtering, connected operators, and filters by reconstruction
IEEE Transactions on Image Processing
A New Approach to Analyse Neighbourhood Relations in 2D Polygonal Networks
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Pattern Recognition Letters
Hi-index | 0.01 |
This paper presents a methodology to automatically identify polygonal patterns on the surface of Mars. These structures, which are typical of periglacial regions, result from climate oscillations and present a wide variation in size, shape and topology and occur in different types of terrains with rather different constituents and spectral reflectances. The proposed approach is mainly based on the analysis of the dynamics of watershed contours and is successfully applied to a set of different types of patterned terrains of Mars shown by MGS/MOC images.