Minimum error thresholding

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Minimum error thresholding

Source

Pattern Recognition archive
Volume 19 , Issue 1 (Jan./Feb. 1986) table of contents

Pages: 41 - 47

Year of Publication: 1986

ISSN:0031-3203

Authors

J. Kittler
J. Illingworth

Publisher

Elsevier Science Inc. New York, NY, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 48

Additional Information:

cited by index terms review collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	10.1016/0031-3203(86)90030-0

CITED BY 48

	Nikos Papamarkos, A technique for fuzzy document binarization, Proceedings of the 2001 ACM Symposium on Document engineering, November 09-10, 2001, Atlanta, Georgia, USA
	Punam K. Saha , Jayaram K. Udupa, Optimum Image Thresholding via Class Uncertainty and Region Homogeneity, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.23 n.7, p.689-706, July 2001
	Ku Chin Lin, Fast image thresholding by finding the zero(s) of the first derivative of between-class variance, Machine Vision and Applications, v.13 n.5-6, p.254-262, March 2003
	Byung-Gyu Kim , Jae-Ick Shim , Dong-Jo Park, Fast image segmentation based on multi-resolution analysis and wavelets, Pattern Recognition Letters, v.24 n.16, p.2995-3006, December 2003
	T. Taxt , P. J. Flynn , A. K. Jain, Segmentation of Document Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.12, p.1322-1329, December 1989
	S. -C. Cheng , W. -H. Tsai, A Neural Network Implementation of the Moment-Preserving Technique and its Application to Thresholding, IEEE Transactions on Computers, v.42 n.4, p.501-507, April 1993
	Steven J. Simske , Scott C. Baggs, Digital capture for automated scanner workflows, Proceedings of the 2004 ACM symposium on Document engineering, October 28-30, 2004, Milwaukee, Wisconsin, USA
	Steven J. Simske , Jordi Arnabat, User-directed analysis of scanned images, Proceedings of the 2003 ACM symposium on Document engineering, November 20-22, 2003, Grenoble, France
	Øivind Due Trier , Anil K. Jain, Goal-Directed Evaluation of Binarization Methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.12, p.1191-1201, December 1995
	Yan Solihin , C. G. Leedham, Integral Ratio: A New Class of Global Thresholding Techniques for Handwriting Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.21 n.8, p.761-768, August 1999
	Jing-Hao Xue , Aleksandra Pizurica , Wilfried Philips , Etienne Kerre , Rik Van De Walle , Ignace Lemahieu, An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images, Pattern Recognition Letters, v.24 n.15, p.2549-2560, November 2003
	Hamed Shah-Hosseini , Reza Safabakhsh, Automatic Multilevel Thresholding for Image Segmentation by the Growing Time Adaptive Self-Organizing Map, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.24 n.10, p.1388-1393, October 2002
	Matthew Kyan , Ling Guan , Steven Liss, Refining competition in the self-organising tree map for unsupervised biofilm image segmentation, Neural Networks, v.18 n.5-6, p.850-860, June 2005
	Andrew Busch , Wageeh W. Boles , Sridha Sridharan, Texture for Script Identification, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.27 n.11, p.1720-1732, November 2005
	Jong Bae Kim , Hang Joon Kim, Efficient region-based motion segmentation for a video monitoring system, Pattern Recognition Letters, v.24 n.1-3, p.113-128, January 2003
	Xinhua Zhuang , Tao Wang , Peng Zhang, A Highly Robust Estimator Through Partially Likelihood Function Modeling and Its Application in Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.14 n.1, p.19-35, January 1992
	Liwei Zhang , Abbas Dehghani , Zhenwei Su , Tim King , Barry Greenwood , Martin Levesley, Real-time automated visual inspection system for contaminant removal from wool, Real-Time Imaging, v.11 n.4, p.257-269, August 2005
	Wonho Oh , W. Brent Lindquist, Image Thresholding by Indicator Kriging, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.21 n.7, p.590-602, July 1999
	Øivind Due Trier , Torfinn Taxt, Evaluation of Binarization Methods for Document Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.3, p.312-315, March 1995
	N. Nacereddine , L. Hamami , D. Ziou, Thresholding techniques and their performance evaluation for weld defect detection in radiographic testing, Machine Graphics & Vision International Journal, v.15 n.3, p.557-566, January 2006
	Jesús Lázaro , Jagoba Arias , José L. Martín , Aitzol Zuloaga , Carlos Cuadrado, SOM Segmentation of gray scale images for optical recognition, Pattern Recognition Letters, v.27 n.16, p.1991-1997, December 2006
	Z. Hou , Q. Hu , W. L. Nowinski, On minimum variance thresholding, Pattern Recognition Letters, v.27 n.14, p.1732-1743, 15 October 2006
	Jesús Lázaro , Jagoba Arias , José L. Martín , Aitzol Zuloaga , Carlos Cuadrado, SOM Segmentation of gray scale images for optical recognition, Pattern Recognition Letters, v.27 n.16, p.1991-1997, December, 2006
	E. Badekas , N. Papamarkos, Optimal combination of document binarization techniques using a self-organizing map neural network, Engineering Applications of Artificial Intelligence, v.20 n.1, p.11-24, February, 2007
	Agus Zainal Arifin , Akira Asano, Image segmentation by histogram thresholding using hierarchical cluster analysis, Pattern Recognition Letters, v.27 n.13, p.1515-1521, 1 October 2006
	S. Hemachander , A. Verma , S. Arora , Prasanta K. Panigrahi, Locally adaptive block thresholding method with continuity constraint, Pattern Recognition Letters, v.28 n.1, p.119-124, January, 2007
	Yu Qiao , Qingmao Hu , Guoyu Qian , Suhuai Luo , Wieslaw L. Nowinski, Thresholding based on variance and intensity contrast, Pattern Recognition, v.40 n.2, p.596-608, February, 2007
	Hongjiang Su , Danny Crookes , Ahmed Bouridane, Thresholding of noisy shoeprint images based on pixel context, Pattern Recognition Letters, v.28 n.2, p.301-307, January, 2007
	Wafa Boussellaa , Abderrazak Zahour , Adel Alimi, A methodology for the separation of foreground/background in Arabic historical manuscripts using hybrid methods, Proceedings of the 2007 ACM symposium on Applied computing, March 11-15, 2007, Seoul, Korea
	Yakoub Bazi , Lorenzo Bruzzone , Farid Melgani, Image thresholding based on the EM algorithm and the generalized Gaussian distribution, Pattern Recognition, v.40 n.2, p.619-634, February, 2007
	Robert Haralick , Rave Harpaz, Linear manifold clustering in high dimensional spaces by stochastic search, Pattern Recognition, v.40 n.10, p.2672-2684, October, 2007
	Shu-Kai S. Fan , Yen Lin, A multi-level thresholding approach using a hybrid optimal estimation algorithm, Pattern Recognition Letters, v.28 n.5, p.662-669, April, 2007
	Qiang Chen , Quan-sen Sun , Pheng Ann Heng , De-shen Xia, A double-threshold image binarization method based on edge detector, Pattern Recognition, v.41 n.4, p.1254-1267, April, 2008
	A. Nakib , H. Oulhadj , P. Siarry, Image histogram thresholding based on multiobjective optimization, Signal Processing, v.87 n.11, p.2516-2534, November, 2007
	Ayman El-Baz , Aly A. Farag , Georgy Gimel'farb, Iterative approximation of empirical grey-level distributions for precise segmentation of multimodal images, EURASIP Journal on Applied Signal Processing, v.2005 n.1, p.1969-1983, 1 January 2005
	Maryam Shokri , Hamid R. Tizhoosh, A reinforcement agent for threshold fusion, Applied Soft Computing, v.8 n.1, p.174-181, January, 2008
	Songtao Huang , Majid Ahmadi , M. A. Sid-Ahmed, A hidden Markov model-based character extraction method, Pattern Recognition, v.41 n.9, p.2890-2900, September, 2008
	Qingmao Hu , Suhuai Luo , Yu Qiao , Guoyu Qian, Supervised grayscale thresholding based on transition regions, Image and Vision Computing, v.26 n.12, p.1677-1684, December, 2008
	Madhubanti Maitra , Amitava Chatterjee, A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding, Expert Systems with Applications: An International Journal, v.34 n.2, p.1341-1350, February, 2008
	S. Arora , J. Acharya , A. Verma , Prasanta K. Panigrahi, Multilevel thresholding for image segmentation through a fast statistical recursive algorithm, Pattern Recognition Letters, v.29 n.2, p.119-125, January, 2008
	Elisa Ficarra , Giovanni De Micheli , Sungroh Yoon , Luca Benini , Enrico Macii, Joint co-clustering: Co-clustering of genomic and clinical bioimaging data, Computers & Mathematics with Applications, v.55 n.5, p.938-949, March, 2008
	Shitong Wang , Fu-lai Chung , Fusong Xiong, A novel image thresholding method based on Parzen window estimate, Pattern Recognition, v.41 n.1, p.117-129, January, 2008
	Engin Avci , Derya Avci, An expert system based on fuzzy entropy for automatic threshold selection in image processing, Expert Systems with Applications: An International Journal, v.36 n.2, p.3077-3085, March, 2009
	Margaret Sturgill , Steven J. Simske, An optical character recognition approach to qualifying thresholding algorithms, Proceeding of the eighth ACM symposium on Document engineering, September 16-19, 2008, Sao Paulo, Brazil
	Baidya Nath Saha , Nilanjan Ray, Image thresholding by variational minimax optimization, Pattern Recognition, v.42 n.5, p.843-856, May, 2009
	Chunguang Cao , Timothy S. Newman , Glynn A. Germany, New shape-based auroral oval segmentation driven by LLS-RHT, Pattern Recognition, v.42 n.5, p.607-618, May, 2009
	Shu-Kai S. Fan , Yen Lin, A fast estimation method for the generalized Gaussian mixture distribution on complex images, Computer Vision and Image Understanding, v.113 n.7, p.839-853, July, 2009
	Debashis Sen , Sankar K. Pal, Histogram thresholding using fuzzy and rough measures of association error, IEEE Transactions on Image Processing, v.18 n.4, p.879-888, April 2009

INDEX TERMS

Classification:
I. Computing Methodologies
I.2 ARTIFICIAL INTELLIGENCE
I.2.10 Vision and Scene Understanding
Subjects: Intensity, color, photometry, and thresholding
I.4 IMAGE PROCESSING AND COMPUTER VISION
I.4.3 Enhancement
Subjects: Grayscale manipulation
I.5 PATTERN RECOGNITION
I.5.2 Design Methodology
Subjects: Classifier design and evaluation

General Terms:
Algorithms, Design, Management, Verification

REVIEW

"Ned Chapin : Reviewer"

This image processing paper presents a more efficient thresholding method, one based on a classification approach. The method optimizes a criterion involving the average pixel classification error rate. The method handles multiple thresholds and more...

Collaborative Colleagues:

J. Kittler: colleagues

J. Illingworth: colleagues

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