Heijenk, G.[Geert]
* 2022: Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control With Lossy Communication
Heijligers, M.
* 2007: Embedded Low Power High Efficient Object Tracker for Surveillance Systems, An
Heijman, E.
* 2015: Digital Preclinical PET/MRI Insert and Initial Results, A
Heijmans, H.J.A.M.
* 1990: Algebraic Basis of Mathematical Morphology: I. Dilations and Erosions, The
* 1991: Algebraic Basis of Mathematical Morphology: II. Openings and Closings, The
* 1991: Morphological Sampling
* 1991: Theoretical Aspects of Gray-Level Morphology
* 1992: Convergence, Continuity, and Iteration in Mathematical Morphology
* 1992: Discretization of Morphological Operators
* 1992: Graph Morphology
* 1992: Shape in Picture: Mathematical Description of Shape in Grey-level Images
* 1992: Shape in Picture: Mathematical Description of Shape in Grey-level Images
* 1993: Gray-scale granulometries compatible with spatial scalings
* 1993: Note on the Umbra Transform in Gray-Scale Morphology, A
* 1994: Construction of self-dual morphological operators and modifications of the median
* 1994: Mathematical Morphology as a Tool for Shape Description
* 1994: On the construction of morphological operators which are self-dual and activity-extensive
* 1994: Shape in Picture: Mathematical Description of Shape in Grey-level Images
* 1995: Morphological Operators for Image Sequences
* 1996: Efficient computation of a reflection symmetry measure for convex polygons based on Minkowski addition
* 1996: Lattice-Theoretical Framework for Annular Filters in Morphological Image Processing, A
* 1996: Self-Dual Morphological Operators and Filters
* 1997: Comparing convex shapes using Minkowski addition
* 1997: Composing Morphological Filters
* 1997: Connected Morphological Operators and Filters for Binary Images
* 1997: Morphological grain operators for binary images
* 1998: axiomatic approach to multiresolution signal decomposition, An
* 1998: Mathematical Morphology and its Applications to Image and Signal Processing
* 1998: Minkowski Decomposition of Convex Polygons into Their Symmetrical and Asymmetric Parts
* 1998: Morphology On Convolution Lattices with Applications to the Slope Transform and Random Set-Theory
* 1998: Similarity and Symmetry Measures for Convex Shapes Using Minkowski Addition
* 1999: Annular Filters for Binary Images
* 1999: Connected Morphological Operators for Binary Images
* 2000: First Steps Towards a Self-dual Morphology
* 2000: Nonlinear Multiresolution Signal Decomposition Schemes--Part I: Morphological Pyramids
* 2000: Nonlinear Multiresolution Signal Decomposition Schemes--Part II: Morphological Wavelets
* 2000: Similarity measures for convex polyhedra based on Minkowski addition
* 2001: Adaptive Update Lifting Scheme with Perfect Reconstruction, An
* 2001: Adjunctions in pyramids and curve evolution
* 2001: Scale-spaces, PDE's, and scale invariance
* 2002: Algebraic Framework for Linear and Morphological Scale-Spaces
* 2002: Gradient-driven update lifting for adaptive wavelets
* 2002: Grey-Scale Morphology Based on Fuzzy Logic
* 2002: Inf-Semilattice Approach to Self-Dual Morphology
* 2003: Adjunctions in Pyramids, Curve Evolution and Scale-Spaces
* 2003: new quality metric for image fusion, A
* 2003: Quantization of adaptive 2D wavelet decompositions
* 2004: Motion compensation and scalability in lifting-based video coding
* 2004: Path-based morphological openings
* 2005: Gradient-driven update lifting for adaptive wavelets
* 2005: Path Openings and Closings
* 2005: Reversible Data Embedding Into Images Using Wavelet Techniques and Sorting
* 2006: Combining Seminorms in Adaptive Lifting Schemes and Applications to Image Analysis and Compression
Includes: Heijmans, H.J.A.M. Heijmans, H.J.A.M.[Henk J.A.M.] Heijmans, H.J.A.M.[Henk J. A. M.]
50 for Heijmans, H.J.A.M.
Heijnen, H.[Huub]
* 2019: DAME WEB: DynAmic MEan with Whitening Ensemble Binarization for Landmark Retrieval without Human Annotation
* 2019: SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
* 2019: Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss