Pattern Recognition
A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
A new method for image segmentation
Computer Vision, Graphics, and Image Processing
Performance study of several global thresholding techniques for segmentation
Computer Vision, Graphics, and Image Processing
Optimal histogram partitioning using a simulated annealing technique
Pattern Recognition Letters
An analysis of histogram-based thresholding algorithms
CVGIP: Graphical Models and Image Processing
Image thresholding: some new techniques
Signal Processing
Random-sampling thresholding: a new approach to multilevel thresholding
Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Detection of Regions of Interest in Digitized Mammograms for Computer-Aided Diagnosis
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
SOM Segmentation of gray scale images for optical recognition
Pattern Recognition Letters
SOM Segmentation of gray scale images for optical recognition
Pattern Recognition Letters
A hidden Markov model-based character extraction method
Pattern Recognition
Vision-Based Text Segmentation System for Generic Display Units
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Neuro semantic thresholding using OCR software for high precision OCR applications
Image and Vision Computing
Solidity based local threshold for oil sand image segmentation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Modified bacterial foraging algorithm based multilevel thresholding for image segmentation
Engineering Applications of Artificial Intelligence
Display text segmentation after learning best-fitted OCR binarization parameters
Expert Systems with Applications: An International Journal
Image bilevel thresholding based on stable transition region set
Digital Signal Processing
Modified stable Euler-number algorithm implementation for real-time image binarization
Journal of Real-Time Image Processing
A novel image thresholding method based on membrane computing and fuzzy entropy
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
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A new approach for image segmentation for scenes that contain distinct objects is presented. A sequence of graphs N"s(t) is defined, where N"s(t) is the number of connected objects composed of at least s pixels, for the image thresholded at t. The sequence of graphs is built in almost linear time complexity, namely at O(@a(n, n). n), where @a(n, n) is the inverse of the Ackermann function, and n is the number of pixels in the image. Stable states on the graph in the appropriate ''resolution'' s^* correspond to threshold values that yield a segmentation similar to a human observer. The relevance of a Percolation model to the graphs N"s(t) is discussed.