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A threshlod selection method based on multiscale and graylevel co-occurrence matrix analysis

Yun Li, Mohamed Cheriet, C.Y. Suen
2005 Eighth International Conference on Document Analysis and Recognition (ICDAR'05)  
Noises and complex backgrounds often make the thresholding of degraded document images a difficult job.  ...  In this paper, we propose a new threshold selection method to handle severely degraded document images. First, multiscale image description is adopted to analyze the image edge.  ...  Conclusions We have proposed a new threshold selection method for document images based on multiscale and graylevel co-occurrence matrix.  ... 
doi:10.1109/icdar.2005.36 dblp:conf/icdar/LiSC05 fatcat:ycfkjri7n5fzvnllezrib5jnoe

An Adaptive Method for Physical Documents Digitization based on Global Energy Function Parameter

Ajay KumarPal, Yogendra Kumar Jain
2015 International Journal of Computer Applications  
The first step of physical document analysis system is to digitalize the physical document.  ...  Recently number of researcher present numerous techniques that can vary in sensitivity, quality and some more control parameter.  ...  The data terms of the energy function becomes a sum of the signed label Laplacian in each pixel of the image.  ... 
doi:10.5120/20838-3561 fatcat:un4usrprq5agfb67nbttf3yox4

Translation of Six Tuple Grade-1 Braille Alphabet to English Alphabet

Vishwanath Venkatesh Murthy, Assistant Professor, RNS Institute of Technology, Research scholar, Department of Computer Science and Applications, Bangalore University, Bengaluru, India., M Hanumanthappa, Department of Computer Science and Applications, Bangalore University, Bengaluru, India.
Initially Braille documents are scanned, and preprocessing techniques like adaptive histogram and Laplacian filters are applied to augment the dots by eliminating the noise.  ...  The existence of dot pattern in every cell is detected with a Threshold and transformed to sequence of Binary matrix.  ...  based on diverse sectors of an image which helps in contrast enhancement of the image.  ... 
doi:10.35940/ijitee.i9273.0710921 fatcat:dpl4oqgwxvcujabfvoatxcpz2e

Learning-Free Text Line Segmentation for Historical Handwritten Documents

Berat Kurar Barakat, Rafi Cohen, Ahmad Droby, Irina Rabaev, Jihad El-Sana
2020 Applied Sciences  
We present a learning-free method for text line segmentation of historical handwritten document images.  ...  We provide results investigating various settings and compare the model with recent learning-free and learning-based methods on the cBAD competition dataset.  ...  Acknowledgments: This research was supported by the Frankel Center for Computer Science in Ben-Gurion University of the Negev. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10228276 fatcat:mp277cng65e2xlyg7ui4an5k5u

An innovative document image binarization approach driven by the non-local p-Laplacian

Fatim Zahra Ait Bella, Mohammed El Rhabi, Abdelilah Hakim, Amine Laghrib
2022 EURASIP Journal on Advances in Signal Processing  
Extensive experiments conducted on degraded document images evince the greater effectiveness of the proposed non-local algorithm.  ...  AbstractText image binarization is fairly a tedious task and a significant problem in document image analysis.  ...  this model by selecting the thresholding parameter in the source term based on local information making the process locally adaptive [12] .  ... 
doi:10.1186/s13634-022-00883-2 fatcat:dtgc7syzjjfuhnyr3n6mjlsbli

Low Magnitude Edge Detection Algorithm

Rohit yadav, Ranbeer Tyagi, L.D. Malviya
2011 International Journal of Computer Applications  
There are very few approaches and algorithms to show the finer details of an object. The proposed edge detection technique explores the hidden edges in a very simpler manner.  ...  Based on the above approximated operators we have synthesized the following algorithms to perform task: EXPERIMENT RESULTS AND COMPARISON CONCLUSION Based on the previously adapted algorithms in  ...  Zerocrossing detector One approach for finding zero crossing at any pixel p of the filtered image g(x, y) is based on usin g 3X3 neighborhood centered at p.  ... 
doi:10.5120/2863-3691 fatcat:yezyfowkjbejndt5dftx3uofwa

A Review on the Text Segmentation Techniques

Harpreet mann, Chetan Marwaha
2017 International Journal Of Engineering And Computer Science  
criteriaon for grouping components in the same line which results in clusters as well as large dataset containing variety of images .The Sobel and Laplacian for enhancing degraded low contrast pixels in  ...  Basically it is defined as the process of dividing the image into different parts of homogeneity.  ...  Indus files consist of signs that appear to be including attractive throughout images.  ... 
doi:10.18535/ijecs/v6i3.31 fatcat:sja65uomundapamgf2k5l7l5wq

A Comparative Analysis of Different Edge Based Algorithms for Mobile/Camera Captured Images

H.K. Chethan, G.Hemantha Kumar
2010 International Journal of Computer Applications  
The goal of the work is to extract and recognize text from camera captured images based on edge based algorithms and compare the result with the existing system under different conditions.  ...  Availability of High Resolution Camera has lead to new dimension in digital image processing. Mobile phones are ubiquitous and very powerful in nature due to their capability of multifunction.  ...  Survey [6] have showed that global thresholding is not ideal for Camera-captured images due to lightning variations so We proposed locally adaptive thresholding method that is robust to variation of  ... 
doi:10.5120/1143-1496 fatcat:kxmpqysdmzge5m5a5ys5afz654

Laplacian Edge Detection Algorithm for Road Signal Images and FPGA Implementation

Issam Bouganssa, Laboratory LASTIMI, High School of Technology SALE Mohammed V University, Rabat, Morocco, Mohamed Sbihi, Mounia Zaim
2019 International Journal of Machine Learning and Computing  
is based on the Laplacian calculation for Edges detecting and implemented in a Xilinx Spartan 6 FPGA, and the results are displayed by standing in a VGA monitor, with a sync and display controller.  ...  The applications of image processing for road safety, detecting panels and roadway have attracted considerable attention in literature and research, especially in the field of information processing on  ...  Simulation of the Laplacian Algorithm on Different Road Images We present in this part, the application of mask based on the calculation of Laplacian on different road images, the goal being to verify  ... 
doi:10.18178/ijmlc.2019.9.1.765 fatcat:2e42srxm7velxbrw3fgqkau5vq


Snehal S Gaikwad ., S. L. Nalbalwar .
2019 International Journal of Engineering Applied Sciences and Technology  
Multilingual character detection and recognition from video subtitles, scenes and documents is additionally getting high consideration on this subject.  ...  Headways in the field of computer vision, Artificial Intelligence and some constant applications dependent on content identification and recognition has taken more consideration of researchers.  ...  This framework for text-based traffic sign detection composed of two parts namely FCN based traffic sign detector and fast text detector.  ... 
doi:10.33564/ijeast.2019.v04i03.062 fatcat:6tswkhkmwbcfnne6tk6z2jm6jm

Speckle Reducing Contourlet Transform For Medical Ultrasound Images

P.S. Hiremath, Prema T. Akkasaligar, Sharan Badiger
2011 Zenodo  
The objective of the paper is to determine the number of levels of Laplacian pyramidal decomposition, the number of directional decompositions to perform on each pyramidal level and thresholding schemes  ...  The transformed image is denoised by applying thresholding techniques on individual band pass sub bands using a Bayes shrinkage rule. We quantify the achieved performance improvement.  ...  on the log transformed image of Step 2 upto n levels of Laplacian pyramidal decomposition and m direct ional decompositions at each level.  ... 
doi:10.5281/zenodo.1062772 fatcat:qvhw3yjnivf6rbetqn5annxyfm

Non Causal Adaptive Quadratic Filters For Image Filtering And Contrast Enhancement

P. Baylou, S. Guillon
1996 Zenodo  
Publication in the conference proceedings of EUSIPCO, Trieste, Italy, 1996  ...  ADAPTIVE NON CAUSAL FILTER MASK 2.1 Salembier adaptive approach The idea of adapting the lter mask is due to Salembier for adaptive rank order based lters 1].  ...  The approach presented in this paper is based on a non causal adaptive quadratic lter, i.e. a lter formed by combining linear and quadratic operators whose coefcients are adaptively determined.  ... 
doi:10.5281/zenodo.36041 fatcat:k27qxxngx5fcznwqqrjdcexhiu

A Laplacian Energy for Document Binarization

Nicholas R. Howe
2011 2011 International Conference on Document Analysis and Recognition  
This paper describes a new algorithm for document binarization, building upon recent work in energy-based segmentation methods.  ...  The results of this algorithm place it near the top on both the DIBCO-09 and H-DIBCO assessments.  ...  CONCLUSION This paper presents a document binarization algorithm based on the Laplacian of the image intensity, with an energy function minimized efficiently via a graph-cut computation.  ... 
doi:10.1109/icdar.2011.11 dblp:conf/icdar/Howe11 fatcat:7pdj33np35ggrjirmdx4vxrfhm

A Survey On Various Approaches Of Text Extraction In Images

C.P Sumathi
2012 International Journal of Computer Science & Engineering Survey  
Due to rapid growth of available multimedia documents and growing requirement for information, identification, indexing and retrieval, many researches have been done on text extraction in images.Several  ...  The proposed methods were based on morphological operators, wavelet transform, artificial neural network,skeletonization operation,edge detection algorithm, histogram technique etc.  ...  The method was based on a combination of an adaptive color reduction (ACR) technique and a page layout analysis (PLA) approach.  ... 
doi:10.5121/ijcses.2012.3403 fatcat:wbessaps7baehi2mnyz4mccu4a

Fast Local Laplacian-Based Steerable and Sobel Filters Integrated with Adaptive Boosting Classification Tree for Automatic Recognition of Asphalt Pavement Cracks

Nhat-Duc Hoang, Quoc-Lam Nguyen
2018 Advances in Civil Engineering  
Based on the features produced by these image processing techniques, adaptive boosting classification tree is used to perform pavement crack recognition tasks.  ...  Advanced image processing techniques including fast local Laplacian filter, Sobel filter, steerable filter, and projection integral are employed for image enhancement and analysis to extract useful features  ...  LLF is the algorithm based on the Laplacian pyramid which is widely employed in the tasks of decomposing images into multiple scales and image analysis.  ... 
doi:10.1155/2018/5989246 fatcat:bcakcoktb5ajzbk3x7n3mnzahu
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