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Analysis of gray level corner detection
- Source :
- Pattern Recognition Letters. 20:149-162
- Publication Year :
- 1999
- Publisher :
- Elsevier BV, 1999.
-
Abstract
- In this paper the analysis of gray level corner detection has been carried out. Performances of various cornerness measures are discussed with respect to four performances of robustness: detection, localization, stability and complexity. We have analyzed the interior differential features of the image surface of these cornerness measures. This paper presents a new approach called gradient-direction corner detector for the corner detection which is developed from the popular Plessey corner detection. The gradient-direction corner detector is based on the measure of the gradient module of the image gradient direction and the constraints of the false corner response suppression.
- Subjects :
- Computer science
business.industry
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Corner detection
Hardware_PERFORMANCEANDRELIABILITY
Interest point detection
Gray level
Artificial Intelligence
Signal Processing
Hardware_INTEGRATEDCIRCUITS
Computer vision
Computer Vision and Pattern Recognition
Artificial intelligence
business
Software
Image gradient
Feature detection (computer vision)
Subjects
Details
- ISSN :
- 01678655
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Pattern Recognition Letters
- Accession number :
- edsair.doi...........9214844110cf736c2a9149dec2f2cfd5