Digital image processing and computer vision: an introduction to theory and implementations
Digital image processing and computer vision: an introduction to theory and implementations
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-dimensional signal and image processing
Two-dimensional signal and image processing
Steerable filters and local analysis of image structure
Steerable filters and local analysis of image structure
Describing and segmenting scenes from imperfect and incomplete data
CVGIP: Image Understanding
A review of recent texture segmentation and feature extraction techniques
CVGIP: Image Understanding
Edge and Line Feature Extraction Based on Covariance Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Filtering, Segmentation, and Depth
Filtering, Segmentation, and Depth
Finding Edges and Lines in Images
Finding Edges and Lines in Images
Corner Detection and Interpretation on Planar Curves Using Fuzzy Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge Based Supervised Fuzzy-Classification: An Application to Image Processing
Annals of Mathematics and Artificial Intelligence
An algorithm for automatic detection of runways in aerial images
Machine Graphics & Vision International Journal
Edge, Shade and Mixed Range Detection by Fuzzy Gaussian Filter for an Autonomous Robot
Journal of Intelligent and Robotic Systems
A robust algorithm for image principal curve detection
Pattern Recognition Letters
A novel edge detection method based on the maximizing objective function
Pattern Recognition
Methods for Fine Registration of Cadastre Graphs to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Novel intelligent edge detector for sonographical images
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Handling of impreciseness in gray level corner detection using fuzzy set theoretic approach
Applied Soft Computing
Novel intelligent edge detector for sonographical images
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
Automatic edge detection by combining kohonen SOM and the canny operator
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Adaptive fuzzy weighted average filter for synthesized image
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part III
Generating fuzzy edge images from gradient magnitudes
Computer Vision and Image Understanding
Multiscale edge detection based on Gaussian smoothing and edge tracking
Knowledge-Based Systems
Two-dimensional multi-pixel anisotropic Gaussian filter for edge-line segment (ELS) detection
Image and Vision Computing
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We characterize the problem of detecting edges in images as a fuzzy reasoning problem. The edge detection problem is divided into three stages: filtering, detection, and tracing. Images are filtered by applying fuzzy reasoning based on local pixel characteristics to control the degree of Gaussian smoothing. Filtered images are then subjected to a simple edge detection algorithm which evaluates the edge fuzzy membership value for each pixel, based on local image characteristics. Finally, pixels having high edge membership are traced and assembled into structures, again using fuzzy reasoning to guide the tracing process. The filtering, detection, and tracing algorithms are tested on several test images. Comparison is made with a standard edge detection technique.