Mathematical morphology for structure without translation symmetry
Signal Processing
A fast algorithm for local minimum and maximum filters on rectangular and octagonal kernels
Pattern Recognition Letters
Fast computation of morphological operations with arbitrary structuring elements
Pattern Recognition Letters
Locally adaptable mathematical morphology using distance transformations
Pattern Recognition
Image filtering using morphological amoebas
Image and Vision Computing
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatially-Variant Anisotropic Morphological Filters Driven by Gradient Fields
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Spatially-Variant Morpho-Hessian Filter: Efficient Implementation and Application
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Computationally efficient, one-pass algorithm for morphological filters
Journal of Visual Communication and Image Representation
Fast streaming algorithm for 1-D morphological opening and closing on 2-D support
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Adaptive structuring elements based on salience information
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Adaptive morphology using tensor-based elliptical structuring elements
Pattern Recognition Letters
Hi-index | 0.00 |
Spatially variable structuring elements outperform translation-invariant ones by their ability to locally adapt to image content. Without restrictions, they suffer from an overwhelming computational complexity. Fast methods for their implementation have recently been proposed for 1-D functions. This paper proposes an extension to 2-D with resizable rectangles.