Morphological image analysis

By K. Michielsen, De Raedt. 2000

849 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Electronic, Optical and Magnetic Materials, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/469a8e13164d78c9ef9f07971c7aebca4415f393

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

In Electronic, Optical and Magnetic Materials

In Materials Chemistry

Citations in the corpus

Advances in Spectral-Spatial Classification of Hyperspectral Images (2013, methodology): “It considers a 2-D one-band image as a topographic relief [48], [92].”
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure (2015, background): “Many textbooks and tutorial papers have been written [84,85] and the interested reader is referred to them for greater background.”
Imaging and image processing in porous media research (2008, methodology): “Morphological methods can also be used to describe the region growing [52].”
Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles (2008, methodology): “To avoid this problem, geodesic morphology and reconstruction should be used [19].”
Segmentation and classification of hyperspectral images using watershed transformation (2010, methodology): “Watershed transformation is usually applied to the gradient, which must be a scalar function, in order to form a complete lattice structure [44].”
Airborne high-resolution ISAR imaging of ship targets at sea (2004, neutral): “we apply a threshold to remove the background noise and clutter, and then perform morphological region-growing and region-filling [16].”
TOPP - the OpenMS proteomics pipeline (2007, methodology): “Therefore, we decided to implement a non-linear filter, known as the top-hat operator in morphological mathematics (Soille, 1999), as it does not depend on the underlying baseline shape.”
Connectivity metrics for subsurface flow and transport (2013, methodology): “Finally, instead of using a simple erosion or dilation operation which are only a function of distance, one can use an opening or closing morphological operation which are a function of the size of the objects (see [111] for a definition).”
OpenMS – An open-source software framework for mass spectrometry (2008, methodology): “Hence, we decided to implement a nonlinear filter, known in morphology as the top-hat operator [24].”
Underwater Image Restoration Based on Image Blurriness and Light Absorption (2017, methodology): “We reﬁne P r by ﬁlling the holes caused by ﬂat regions in the objects using morphological reconstruction [23], and then soft matting [24] or guided ﬁltering [25] is applied for smoothing to generate a reﬁned blurriness map P blr : where C r is a hole-ﬁlling morphological reconstruction operator,…”
A multi-scale approach to material modeling of fuel cell diffusion media (2011, methodology): “To follow that idea algorithmically, the pore size of the 3D geometry was determined using granulometry [16], i.”