A Segmentation System for Soccer Robot Based on Neural Networks
RoboCup-99: Robot Soccer World Cup III
Optimal multi-thresholding using a hybrid optimization approach
Pattern Recognition Letters
Binarizing and filtering historical documents with back-to-front interference
Proceedings of the 2006 ACM symposium on Applied computing
Image thresholding using two-dimensional Tsallis-Havrda-Charvát entropy
Pattern Recognition Letters
A multi-level thresholding approach using a hybrid optimal estimation algorithm
Pattern Recognition Letters
Object segmentation using ant colony optimization algorithm and fuzzy entropy
Pattern Recognition Letters
A quantitative method for assessing algorithms to remove back-to-front interference in documents
Proceedings of the 2007 ACM symposium on Applied computing
A novel image thresholding method based on Parzen window estimate
Pattern Recognition
Computer Vision and Image Understanding
The strongest schema learning GA and its application to multilevel thresholding
Image and Vision Computing
A new region-based segmentation method for complex document image analysis
International Journal of Computational Science and Engineering
An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Localization of Lesions in Dermoscopy Images Using Ensembles of Thresholding Methods
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Engineering Applications of Artificial Intelligence
HistDoc v. 2.0: enhancing a platform to process historical documents
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Automated extraction of PCB components based on specularity using layered illumination
Journal of Intelligent Manufacturing
A new interactive segmentation scheme based on fuzzy affinity and live-wire
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Detecting and ranking foreground regions in gray-level images
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
HistDoc - a toolbox for processing images of historical documents
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Optimal multilevel thresholding using bacterial foraging algorithm
Expert Systems with Applications: An International Journal
Enhancing document images acquired using portable digital cameras
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
A sequential machine vision procedure for assessing paper impurities
Computers in Industry
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A new criterion for multilevel thresholding is proposed. The criterion is based on the consideration of two factors. The first one is the discrepancy between the thresholded and original images and the second one is the number of bits required to represent the thresholded image. Based on a new maximum correlation criterion for bilevel thresholding, the discrepancy is defined and then a cost function that takes both factors into account is proposed for multilevel thresholding. By minimizing the cost function, the classification number that the gray-levels should be classified and the threshold values can be determined automatically. In addition, the cost function is proven to possess a unique minimum under very mild conditions. Computational analyses indicate that the number of required mathematical operations in the implementation of our algorithm is much less than that of maximum entropy criterion. Finally, simulation results are included to demonstrate their effectiveness