Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing white line markings for vision-guided vehicle navigation by fuzzy reasoning
Pattern Recognition Letters
Road recognition for vision navigation of an autonomous vehicle by fuzzy reasoning
Fuzzy Sets and Systems
Fuzzy expert systems architecture for image classification using mathematical morphology operators
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
A novel fuzzy logic approach to mammogram contrast enhancement
Information Sciences—Applications: An International Journal
Automatic edge detection using 3 × 3 ideal binary pixel patterns and fuzzy-based edge thresholding
Pattern Recognition Letters
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Fuzzy integral-based perceptron for two-class pattern classification problems
Information Sciences: an International Journal
A coloring fuzzy graph approach for image classification
Information Sciences: an International Journal
On various eigen fuzzy sets and their application to image reconstruction
Information Sciences: an International Journal
Design of steerable filters for feature detection using canny-like criteria
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy homogeneity approach to multilevel thresholding
IEEE Transactions on Image Processing
Thresholding using two-dimensional histogram and fuzzy entropy principle
IEEE Transactions on Image Processing
A hierarchical approach to color image segmentation using homogeneity
IEEE Transactions on Image Processing
A hybrid neuro-fuzzy filter for edge preserving restoration of images corrupted by impulse noise
IEEE Transactions on Image Processing
Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps
Information Sciences: an International Journal
Information Sciences: an International Journal
A hybrid coevolutionary algorithm for designing fuzzy classifiers
Information Sciences: an International Journal
Information Sciences: an International Journal
Interval-valued fuzzy sets constructed from matrices: Application to edge detection
Fuzzy Sets and Systems
Fuzzy transforms for compression and decompression of color videos
Information Sciences: an International Journal
An improved method for edge detection based on interval type-2 fuzzy logic
Expert Systems with Applications: An International Journal
An efficient ant-based edge detector
Transactions on computational collective intelligence I
Generating fuzzy edge images from gradient magnitudes
Computer Vision and Image Understanding
A novel fuzzy Dempster-Shafer inference system for brain MRI segmentation
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
A new gravitational image edge detection method using edge explorer agents
Natural Computing: an international journal
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Edge detection is an important topic in computer vision and image processing. In this paper, a novel edge detector based on fuzzy If-Then inference rules and edge continuity is proposed. The fuzzy If-Then rule system is designed to model edge continuity criteria. The maximum entropy principle is used in the parameter adjusting process. We also discuss the related issues in designing fuzzy edge detectors. We compare it with the popular edge detectors: Sobel and Canny edge detectors. The proposed fuzzy edge detector does not need parameter setting as Canny edge detector does, and it can preserve an appropriate detection in details. It is very robust to noise and can work well under high level noise situations, while other edge detectors cannot. The detector efficiently extracts edges in images corrupted by noise without requiring the filtering process. The experimental results demonstrate the superiority of the proposed method to existing ones.