A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
On compatibility and support functions in probabilistic relaxation
Computer Vision, Graphics, and Image Processing
Edge detection and motion detection
Image and Vision Computing
Visual reconstruction
Relaxation labelling and the entropy of neighbourhood information
Pattern Recognition Letters
Multiscale image understanding
Parallel computer vision
A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Generalised threshold selection for edge detection
Pattern Recognition
Picture Segmentation by a Tree Traversal Algorithm
Journal of the ACM (JACM)
Digital Picture Processing
Computer Vision
Image Interpretation Using Multiple Sensing Modalities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Game-Theoretic Integration for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive dynamic scene analysis
Imaging and vision systems
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
International Journal of Computer Vision
The Integration of Image Segmentation Maps using Region and Edge Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Strategies for image segmentation combining region and boundary information
Pattern Recognition Letters
Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Seeing People in the Dark: Face Recognition in Infrared Images
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Region-Boundary Cooperative Image Segmentation Based on Active Regions
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Accessing Video Contents through Key Objects over IP
Multimedia Tools and Applications
An Integrated Approach for Surface Finding in Medical Images
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Seeded region growing: an extensive and comparative study
Pattern Recognition Letters
Traffic object detections and its action analysis
Pattern Recognition Letters
An overview of segmentation techniques for target detection in visual images
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Edge Detection Combined Entropy Threshold and Self-Organizing Map (SOM)
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Segmentation techniques for target recognition
WSEAS Transactions on Computers
Automatic seeded region growing for color image segmentation
Image and Vision Computing
Robust moving region boundary extraction using second order statistics
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Active contouring based on gradient vector interaction and constrained level set diffusion
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
A bayesian approach for weighting boundary and region information for segmentation
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Multiresolution filtering with application to image segmentation
Mathematical and Computer Modelling: An International Journal
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A two-stage method of image segmentation based on gray level cooccurrence matrices is described. An analysis of the distributions within a cooccurrence matrix defines an initial pixel classification into both region and interior or boundary designations. Local consistency of pixel classification is then implemented by minimizing the entropy of local information, where region information is expressed via conditional probabilities estimated from the cooccurrence matrices, and boundary information via conditional probabilities which are determined a priori. The method robustly segments an image into homogeneous areas and generates an edge map. The technique extends easily to general edge operators. An example is given for the Canny operator. Applications to synthetic and forward-looking infrared (FLIR) images are given.