Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Detection of Corners of Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Filtering, Edge Detection, and Edge Tracing Using Fuzzy Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
A gray-level corner detector using fuzzy logic
Pattern Recognition Letters
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Analysis of gray level corner detection
Pattern Recognition Letters
Corner Detection and Interpretation on Planar Curves Using Fuzzy Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Digital Image Processing
Direct Gray-Scale Extraction of Features for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locating Perceptually Salient Points on Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Corner Detection Using Support Vector Machines
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Edge and Corner Detection by Photometric Quasi-Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Short communication: Uncertainty measures for fuzzy relations and their applications
Applied Soft Computing
A Corner-Finding Algorithm for Chain-Coded Curves
IEEE Transactions on Computers
Towards automatic visual obstacle avoidance
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Angle Detection on Digital Curves
IEEE Transactions on Computers
Fundamenta Informaticae - Swarm Intelligence
Fundamenta Informaticae - Swarm Intelligence
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Reliable corner detection is an important task in determining shape of different regions in an image. To detect corners in a gray level image under imprecise information, an algorithm based on fuzzy set theoretic model is proposed. The uncertainties arising due to various types of imaging defects such as blurring, illumination change, noise, etc., usually result in missing of significant curvature junctions (corners). Fuzzy set theory based modeling is well known for efficient handling of impreciseness. In order to handle the incompleteness arising due to imperfection of data, it is reasonable to model image properties in fuzzy frame work for reliable decision making. The robustness of the proposed algorithm is compared with well known conventional detectors. The performance is tested on a number of benchmark test images to illustrate the efficiency of the algorithm.