A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Smoothing: A General Tool for Early Vision
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
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Picture Processing and Psychopictorics
Picture Processing and Psychopictorics
A Method for Objective Edge Detection Evaluation and Detector Parameter Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic edge detection using 3 × 3 ideal binary pixel patterns and fuzzy-based edge thresholding
Pattern Recognition Letters
A novel approach for edge detection based on the theory of universal gravity
Pattern Recognition
Fuzzy vector partition filtering technique for color image restoration
Computer Vision and Image Understanding
A high performance edge detector based on fuzzy inference rules
Information Sciences: an International Journal
Unimodal thresholding for edge detection
Pattern Recognition
Resolution analysis for Gradient Direction Matching of object model edges to overhead images
Computer Vision and Image Understanding
Omnidirectional edge detection
Computer Vision and Image Understanding
On candidates selection for hysteresis thresholds in edge detection
Pattern Recognition
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A gravitational approach to edge detection based on triangular norms
Pattern Recognition
Two-step fuzzy logic-based method for impulse noise detection in colour images
Pattern Recognition Letters
Defuzzification of spatial fuzzy sets by feature distance minimization
Image and Vision Computing
On Edge Detection of X-Ray Images Using Fuzzy Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gaussian-based edge-detection methods-a survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A new fuzzy logic filter for image enhancement
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A geometric approach to edge detection
IEEE Transactions on Fuzzy Systems
An adaptive neuro-fuzzy system for automatic image segmentation and edge detection
IEEE Transactions on Fuzzy Systems
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering
IEEE Transactions on Image Processing
Hi-index | 0.00 |
The representation and processing of edges in images based on notions from fuzzy set theory has become popular in recent years. There are several reasons for this direction, from the vague definition of edges to the inherent uncertainty of digital images. Here, we study the transition from a gradient image, a popular intermediate representation, to a fuzzy edge image. We consider different parametric membership functions to transform the gradients into membership degrees. A histogram-based strategy is then introduced for automatically determining the value of those parameters, adapting the membership functions to the characteristics of each image. The functions are applied on the Canny method for edge detection, resulting in an improvement compared to the classical normalizing approach.