Rationalizing edge detectors
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Summary
It is contended that two stages can be isolated in the formal derivation of an operator; the obtaining of masks meaningful with respect to the phenomenon being sought, and the deriving of the procedural part.
- Type
- article
- Published
- 1978-10-01
- Cited by
- 38
- References
- 8
- OpenAlex
- https://openalex.org/W2011756210
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:120681004
Keywords
Convolution (computer science), Operator (biology), Basis (linear algebra), Computer science, Enhanced Data Rates for GSM Evolution
References
- Finding Picture Edges Through Collinearity of Feature Points
- Edge Detection Using Walsh Functions
- On Boundary Detection
- An Operator Which Locates Edges in Digitized Pictures
- A Local Visual Operator Which Recognizes Edges and Lines
- Machine Perception of Three-Dimensional Solids
- The Low-level Symbolic Representation of Intensity Changes in an Image
- Picture processing and psychopictorics
Cited by
- Edge Detection for Semantically Based Early Visual Processing
- Les contours actifs : modélisation, comportement et convergence
- Efficient evaluations of edge connectivity and width uniformity
- Behavior of Edges in Scale Space
- Nasal cavity temperature measurement for non-invasive respiratory rhythm monitoring and its interfacing with computer
- Computational Approaches to Image Understanding
- Frameworks for the Analysis of Landsat Digital Data
- Edge detection with image enhancement via dynamic programming
- Edge and region analysis for digital image data
- Evaluating the performance of an edge detection algorithm for use in radioisotope imaging.
- The effect of noise on edge orientation computations
- Receptive fields and the theory of discriminant operators
- A Multi-Scale Morphologic Edge Detector
- Integrated Directional Derivative Gradient Operator
- A new edge detector with thinning and noise resisting abilities
- A multi-scale morphological approach to SAR image edge detection
- Multiple Widths Yield Reliable Finite Differences (Computer Vision)
- On the accuracy of the Sobel edge detector
- Improving edge detection by an objective edge evaluation
- Structural damage detection using digital video imaging technique and wavelet transformation
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