Morphological Image Analysis: Principles and Applications

By Pierre Soille. 2003

4,193 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/442c48540b4cf9f36b7e69e38de5c1eb65f161d0

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Citations in the corpus

Modeling of Two-Phase Behavior in the Gas Diffusion Medium of PEFCs via Full Morphology Approach (2007, result): “— The morphological opening with spheres of increasing radius is employed in order to determine the pore size distribution of the 3D microstructures.(29) Figures 4 and 5 show the pore size distributions for the reconstructed Toray090 and SGL10BA carbon paper GDLs, respectively, which are in good agr”
Segmentation of X‐ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures (2009, methodology): “The segmented image can also go through postprocessing using morphological operations of erosion and dilation [ Soille, 2003 ] to remove artifacts resulting from noise in the original gray scale image.”
Influence of Conductive Additives and Binder on the Impedance of Lithium-Ion Battery Electrodes: Effect of Morphology (2020, background): “This effect is achieved by a morphological closing algorithm [45].”
A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles (2015, methodology): “One way to handle this issue is to consider opening and closing by reconstruction [15].”
A new approach for the morphological segmentation of high-resolution satellite imagery (2001, background): “On the contrary, 1-D SEs are called volumetric, nonflat , orgrey scaleSEs [3].”
Structured Variable Selection with Sparsity-Inducing Norms (2009, background): “The standard notion of convexity deﬁned in R 2 would correspond to the situation where an inﬁnite number of orientations is considered (Soille, 2003).”
Advances in Spectral-Spatial Classification of Hyperspectral Images (2013, background): “The second one is based on the MSF; see Section VI.”
Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images (2010, methodology): “Another technique is to detect local maxima points in the gray-scale image using the h-maxima transform [16], [ 20 ].”
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review (2016, methodology): “Euclidean distance transform (EDT) is often paired with watershed segmentation, since the inverse distance map eliminates many unnecessary local minima that will lead to serious 100 breast cancer nuclei EDT region growing PSD: ≤ 7% [29] 20 sets of Drosophila RNAi fluorescence cell images EDT level s”
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime (2019, background): “…(2001); Lu and Torquato (1992); Torquato and Lu (1993); Lowell et al. (2006), quantities from classical fluid dynamics Sutera and Skalak (1993); Kozeny (1927); Carman (1937) or other physics Archie (1947), image analysis Soille (1999) and low-dimensional autoencoder representations Doersch (2016).”
License Plate Recognition From Still Images and Video Sequences: A Survey (2008, methodology): “method in [53] for color images, noise is identified by applying the thickening [54] and pruning algorithm [55] to the binary”
Morphological Attribute Profiles for the Analysis of Very High Resolution Images (2010, methodology): “, openings) that fulfill the absorption property [2].”
An Automatic Learning-Based Framework for Robust Nucleus Segmentation (2016, methodology): “In addition, Cheng and Rajapakes [6] have employed an adaptive H-minima transform [7] to extract nucleus markers for the subsequent watershed segmentation in Drosophila Kc167 cell images, Schmitt and Hasse [8] have detected the markers by localizing the gravitation centers of mass clumped cells with”
Deep learning for plant identification using vein morphological patterns (2016, methodology): “First, an unconstrained version of the Hit or Miss Transform (UHMT) [21] is applied, in order to extract the vein morphological patterns.”