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Transition thresholds and transition operators for binarization and edge detection

Marte A. Ramírez-Ortegón, Ernesto Tapia, Raúl Rojas, Erik Cuevas
2010 Pattern Recognition  
Afterward, we propose the simple edge transition operator for detecting edges.  ...  The transition method for image binarization is based on the concept of t-transition pixels, a generalization of edge pixels, and t-transition sets.  ...  Acknowledgments We thank the anonymous referees for helpful and relevant comments.  ... 
doi:10.1016/j.patcog.2010.04.028 fatcat:k2uis4o4kbd2vprh3zqpmapici

Transition Thresholds for Binarization of Historical Documents

Marte A. Ramirez-Ortegon, Raul Rojas
2010 2010 20th International Conference on Pattern Recognition  
This paper extends the transition method for binarization based on transition pixels, a generalization of edge pixels.  ...  We experimentally tested four variants of the transition method combining the density and cumulative distribution functions of transition values, with gray-intensity thresholds based on the normal and  ...  The binarized images were post-processed using the following operators, in order: Cross, diagonal and rectangular (x = y = 2) isolate operator which are defined as transition operators but over binary  ... 
doi:10.1109/icpr.2010.578 dblp:conf/icpr/Ramirez-OrtegonR10a fatcat:en3bbv6aejb6nemifcybe2lbqa

ICDAR 2011 Document Image Binarization Contest (DIBCO 2011)

Ioannis Pratikakis, Basilis Gatos, Konstantinos Ntirogiannis
2011 2011 International Conference on Document Analysis and Recognition  
The general objective of the contest is to identify current advances in document image binarization for both machine-printed and handwritten document images using evaluation performance measures that conform  ...  to document image analysis and recognition.  ...  Then, the edges are detected using a combination between the high contrast images and the Canny's edge. A local threshold is calculated according to pixel intensities within a specific window.  ... 
doi:10.1109/icdar.2011.299 dblp:conf/icdar/PratikakisGN11 fatcat:k77bt2mjardbxa4gaovkcffpr4

A spatial-temporal approach for video caption detection and recognition

Xiaoou Tang, Xinbo Gao, Jianzhuang Liu, Hongjiang Zhang
2002 IEEE Transactions on Neural Networks  
Using a novel caption-transition detection scheme we locate both spatial and temporal positions of video captions with high precision and efficiency.  ...  We present a video caption detection and recognition system based on a fuzzy-clustering neural network (FCNN) classifier.  ...  Yang for many constructive comments and the Hong Kong TVB and Asian TV news stations for the news videos.  ... 
doi:10.1109/tnn.2002.1021896 pmid:18244491 fatcat:rg4zg33mzbhlta2i4tx2vrq3ga

ICDAR 2009 Document Image Binarization Contest (DIBCO 2009)

Basilis Gatos, Konstantinos Ntirogiannis, Ioannis Pratikakis
2009 2009 10th International Conference on Document Analysis and Recognition  
DIBCO 2009 is the first International Document Image Binarization Contest organized in the context of ICDAR 2009 conference.  ...  The general objective of the contest is to identify current advances in document image binarization using established evaluation performance measures.  ...  Jain): In the proposed technique, the tiled-LOG (Laplacian-of-Gaussian) based binarization is first used to detect the foreground edge components and then an adaptive Sauvola binarization is used to detect  ... 
doi:10.1109/icdar.2009.246 dblp:conf/icdar/GatosNP09 fatcat:cfapggz4mraihf2njt7qyq5xwq

Cumulative Mean Intensity Differential Transition Algorithm for Edge Detection

2020 International journal of recent technology and engineering  
Edge Detection plays a vital role in machine vision applications and thereby variety of edge detection algorithms being developed over time for both grey scale and colour images.  ...  In this paper, a new technique for edge detection called cumulative mean intensity differential transition algorithm (CuMIDT Algorithm) is proposed.  ...  value 1, strong pixel value 255, lower threshold of 0.05 and higher threshold of 0.15.The edges detected using these techniques and proposed technique are shown in Fig. 36 to 38 for the original image  ... 
doi:10.35940/ijrte.e1003.0285s20 fatcat:xfsusnmkwvhqzgnlmmd2avc5f4

Quantile Linear Algorithm for Robust Binarization of Digitalized Letters

M. Ramirez, E. Tapia, M. Block, R. Rojas
2007 Proceedings of the International Conference on Document Analysis and Recognition  
We describe a threshold-based local algorithm for image binarization.  ...  The binarization threshold is calculated using a statistical model of the high energy pixels. Experiments show that this new approach is faster and better than current state-of-the-art algorithms.  ...  One can use another method to reduce the set of transition pixels, using for example the pixel extracted with some edge detection operator such as the Sobel filter.  ... 
doi:10.1109/icdar.2007.4377097 dblp:conf/icdar/RamirezTBR07 fatcat:vld6m2vyenbbtjm5xd4y4xbwhe

Localizing Text in Images and Videos based on Morphology

2020 International journal of recent technology and engineering  
In this paper, we will propose a novel method for localizing and detecting text in complex images and video frames based on morphology.  ...  If the occurrences of this text can be identified, segmented, and recognized automatically, they will be a prized source of high-level semantics; for retrieval and indexing.  ...  Afterward; the edge detector find the edge pixels with an immovable threshold. The regions of frame with high density of edge are considered very noisy for the extraction of text.  ... 
doi:10.35940/ijrte.a2598.059120 fatcat:tyelope4pbbl7bak3pwc6wxnx4

Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms

Marte A. Ramírez-Ortegón, Ernesto Tapia, Lilia L. Ramírez-Ramírez, Raúl Rojas, Erik Cuevas
2010 Pattern Recognition  
This paper introduces a novel binarization method based on the concept of transition pixel, a generalization of edge pixels.  ...  We show how to adjust the threshold of several binary threshold methods which compute gray-intensity thresholds, using the gray-intensity mean and variance of the pixels in the transition set.  ...  Acknowledgments We thank the anonymous referees for helpful and relevant comments, and Edgar Dué ñ ez for useful discussions.  ... 
doi:10.1016/j.patcog.2009.11.006 fatcat:v2iufmmjsrbfzcjtqztb3eb4f4

Local Contrast Segmentation to Binarize Images

Marco Block, Raúl Rojas
2009 2009 Third International Conference on Digital Society  
After a filtering step and morphological operations our local contrast segmentation method is able to detecting connected components.  ...  In this paper, a new binarization algorithm for degraded document images is proposed. The method is based on positive and negative pixel energies using the Laplacian of an image.  ...  The images were binarized by the five methods of Niblack, Kavallieratou, Li, quantile-linear and LCS and the resulting images were processed by the OCR Tesseract [28] for text detection.  ... 
doi:10.1109/icds.2009.45 dblp:conf/icds/BlockR09 fatcat:slo5k64l4jbktj6d7atiowiwfe

Adaptive Binarization for Vehicle State Images Based on Contrast Preserving Decolorization and Major Cluster Estimation

2022 IEICE transactions on information and systems  
A new adaptive binarization method is proposed for the vehicle state images obtained from the intelligent operation and maintenance system of rail transit.  ...  the adaptive threshold is determined by the 2 sigma principle for binarization, which can extract text, identifier and other target information effectively.  ...  Therefore, edge detection and color clustering directly affect the accuracy of the algorithm.  ... 
doi:10.1587/transinf.2021edp7218 fatcat:kfqhrb2vlbgwdhcv42xgc2c3me

Watermarking in E-commerce

Peyman Rahmati, Andy Adler, Thomas Tran
2013 International Journal of Advanced Computer Science and Applications  
This study proposes five preprocessing blocks to remove the distortions of the PS operation: filtering, localization, binarization, undoing rotation, and cropping.  ...  A major challenge for E-commerce and contentbased businesses is the possibility of altering identity documents or other digital data.  ...  To reach to the optimum edges to crop the image, we need to first remove the non-transition region and then find the optimum edges within transition region.  ... 
doi:10.14569/ijacsa.2013.040634 fatcat:lkw6fkxa2bde5m4ibxtnzou5ra

Binarization And Post Processing of Binarized Document Images for Background Text Removal

Aparna Patil
2016 International Journal Of Engineering And Computer Science  
Image contrast reversal, Edge estimation, Image bimodal binarization and Post Processing binarized images are incorporated into proposed system.  ...  In this paper we will build up the framework that can fit for isolating the content from the debased image and few calculations are done such as gray scaling and local thresholding.  ...  Acknowledgment I would like to thank the Principal for giving him the opportunity to work on this project and guide Prof.  ... 
doi:10.18535/ijecs/v5i7.26 fatcat:o5xjkkjbvrbjnf44gahhktyuhe

A simple and effective edge detector [chapter]

C. Cafforio, E. Di Sciascio, C. Guaragnella, G. Piscitelli
1997 Lecture Notes in Computer Science  
The dual windows edge detector can operate with no fixed threshold, is isotropic, i.e. its response does not depend on edge orientation and has good noise immunity in the vicinity of edges.  ...  Nonlinear filtering based on a two concentric circular windows operator is introduced as a simple and effective way to find edges in image processing.  ...  edge images. b) Edges detected with L W 1 =3, L W 2 =5 and ε >5 for test image building.  ... 
doi:10.1007/3-540-63507-6_194 fatcat:m2tuulghx5d3hbg6iipadovslq

Edge Based Binarization for Video Text Images

Zhou Zhiwei, Li Linlin, Tan Chew Lim
2010 2010 20th International Conference on Pattern Recognition  
The binarization method first detects the contour of the text, and utilizes a local thresholding method to decide the inner side of the contour, and then fills up the contour to form characters that are  ...  This paper introduces a binarization method based on edge for video text images, especially for images with complex background or low contrast.  ...  The results of edge detections and seeds selection for Figure 1 is shown in Figures 3a and b.  ... 
doi:10.1109/icpr.2010.41 dblp:conf/icpr/ZhouLT10 fatcat:3tkve2fv2bdajohb6a75q3dwmi
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