Feature Detection with Automatic Scale Selection
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Summary
It is shown how the proposed methodology applies to the problems of blob detection, junction detection, edge detection, ridge detection and local frequency estimation and how it can be used as a major mechanism in algorithms for automatic scale selection, which adapt the local scales of processing to the local image structure.
- Type
- article
- Published
- 1998-11-01
- Cited by
- 3,107
- References
- 66
- Access
- Open access
- OpenAlex
- https://openalex.org/W2109200236
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:723210
Keywords
Scale (ratio), Scale space, Maxima and minima, Computer science, Selection (genetic algorithm)
References
- Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D structure
- Edge Detection and Ridge Detection with Automatic Scale Selection
- Gaussian Scale-Space Theory
- Discrete Scale-Space Theory and the Scale-Space Primal Sketch
- Volumetric model and 3D trajectory of a moving car derived from monocular TV frame sequences of a street scene
- Shape from texture from a multi-scale perspective
- Shape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure
- The Gaussian derivative model for spatial vision: I. Retinal mechanisms.
- Uniqueness of the Gaussian Kernel for Scale-Space Filtering
- Scaling Theorems for Zero Crossings
- Characterization of Signals from Multiscale Edges
- The structure of images
- Linear scale-space
- Segmentation and Classification of Edges Using Minimum Description Length Approximation and Complementary Junction Cues
- Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention
- Receptive field families
- A multiscale region detector
- Two-dimensional curvature operators
- Generic Neighborhood Operators
- Direct computation of shape cues using scale-adapted spatial derivative operators
Cited by
- Wide baseline matching with applications to visual servoing
- Experimental Comparison of Wide Baseline Correspondence Algorithms for Multi Camera Calibration
- Localisation de mobiles par construction de modèles en 3D en utilisant la stéréovision. (Mobile localization by 3D Model Reconstruction Based on Stereovision)
- Fast spot hypothesizer for 2-DE research
- Efficient and Robust Model-to-Image Alignment using 3D Scale-Invariant Features
- A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences
- Pose Estimation for Augmented Reality: A Hands-On Survey
- SIFTing Through Scales
- Probabilistic, features-based object recognition
- A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture
- A Framework to Improve Matching Results of Widely Separated Views
- Image Representations for Ranking and Classification. (Représentations d'images pour la recherche et la classification d'images)
- Spectral technique to recognise occluded objects
- Segmentation région-contour des contours des lèvres
- Analysis of 3D objects at multiple scales: application to shape matching. (Analyse des objets 3D a plusieurs échelles: application à l'assemblage de formes)
- Visual Indexing and Retrieval
- Multidimensional Median Filters for Finding Bumps
- Image processing algorithms for the visualization of interventional devices in X-ray fluoroscopy. (Algorithmes de traitement d'images pour la visualisation d'outils interventionnels dans des séquences de fluoroscopie par rayons X)
- Lung nodule detection in chest radiographs
- Segmentation and classification of individual tree crowns
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