Image processingMorphological transformations of binary images with arbitrary structuring elements
References (28)
Euclidean distance mapping
Comput. Graph. Image Process.
(1980)Rank filters in digital image processing
Comput. Graph. Image Process.
(June 1982)Graphs and mathematical morphology
Signal Processing
(April 1989)Algorithmes morphologiques à base de files d'attente et de lacets. Extension aux graphes
- et al.
Placement automatique de formes: une approche géométrique
Morphologie mathématique et représentation d'images par arbres
Distance transformations in digital images
Comput. Vision Graph. Image Process.
(1986)The polygon containment problem
On the encoding of arbitrary geometric configurations
IEEE Trans. Comput.
(1961)Hexagonal pattern transforms
IEEE Trans. Comput.
(August 1969)
Elaboration d'un logiciel de morphologie mathématique sur micro-ordinateur
On the use of geodesic metric in image analysis
J. Microscopy
Geodesic methods in image analysis
Pattern Recognition
Recursive algorithms in mathematical morphology
Acta Stereologica
Cited by (64)
Quantifying the calcification of abdominal aorta and major side branches with deep learning
2024, Clinical RadiologyAutomated detection, selection and classification of hippocampal landmark points for the diagnosis of Alzheimer's disease
2022, Computer Methods and Programs in BiomedicineCitation Excerpt :In this case, we discarded the deformed images generated and used only the deformed meshes. The binary masks defined by the meshes were expanded with a morphological dilation [50,51] operation, using a 3-D sphere structuring element with an eight-voxel radius to incorporate the surrounding structures (e.g., the amygdala and parahippocampal gyrus) around the two hippocampi. The landmarks were detected and matched using the Phase Congruency (PC) based detector proposed by Villa-Pinto and Ferrari [52] and described using both the original PC descriptor and its adaptation of the spider web descriptor proposed by Ankerst et al. [53].
Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy
2020, Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor TherapyOperators which are translation invariant
2020, Advances in Imaging and Electron PhysicsSegmentation of liver and vessels from CT images and classification of liver segments for preoperative liver surgical planning in living donor liver transplantation
2018, Computer Methods and Programs in BiomedicineCitation Excerpt :The largest object is retained for further processing and other objects are removed. The largest object is then eroded using the binary erode image filter [36,37] in ITK [32] by five pixels determined by an exhaustive experiment to further remove any falsely identified objects that do not belong to the liver (Fig. 2.c). Five to six slices are selected every 40 slices in the binary volume as candidates for seed point identification.
MARGA: Multispectral Adaptive Region Growing Algorithm for brain extraction on axial MRI
2014, Computer Methods and Programs in BiomedicineCitation Excerpt :Dilation. In order to restore the initial size before the erosion, a dilation operation [28,29] have to be applied with the same structural element used in the erosion step. In our implementation we use the ITK implementation.6
- ∗
Present address: Division of Applied Sciences, Harvard University, Pierce Hall, Cambridge MA 02138, USA.