Digital Picture Processing
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Segmentation of Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Binarization Methods for Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Thresholding by Indicator Kriging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text enhancement in digital video using multiple frame integration
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Recognizing Characters in Scene Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Goal-Directed Evaluation of Binarization Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-scale binarization of images
Pattern Recognition Letters
Text Detection for Video Analysis
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Optimal combination of document binarization techniques using a self-organizing map neural network
Engineering Applications of Artificial Intelligence
Non-parametric bootstrap ensembles for detection of tumor lesions
Pattern Recognition Letters
An Efficient Hillclimbing-based Watershed Algorithm and its Prototype Hardware Architecture
Journal of Signal Processing Systems
International Journal of Remote Sensing
A pattern recognition and adaptive approach to quality control
WSEAS Transactions on Systems and Control
Analysis of the vesicular structure of basalts
Computers & Geosciences
Estimation of proper parameter values for document binarization
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Novel classification and segmentation techniques with application to remotely sensed images
Transactions on rough sets VII
A document binarization method based on connected operators
Pattern Recognition Letters
Natural and remote sensing image segmentation using memetic computing
IEEE Computational Intelligence Magazine
Satellite image segmentation with Shadowed C-Means
Information Sciences: an International Journal
Combining global and local threshold to binarize document of images
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Improved segmentation of X-ray tomography data from porous rocks using a dual filtering approach
Computers & Geosciences
Agriculture satellite image segmentation using a modified artificial Hopfield neural network
Computers in Human Behavior
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Several model-based algorithms for threshold selection are presented, concentrating on the two-population univariate case in which an image contains an object and background. It is shown how the main ideas behind two important nonspatial thresholding algorithms follow from classical discriminant analysis. Novel thresholding algorithms that make use of available local/spatial information are then given. It is found that an algorithm using alternating mean thresholding and median filtering provides an acceptable method when the image is relatively highly contaminated, and seems to depend less on initial values than other procedures. The methods are also applicable to multispectral k-population images.