Text/Image Region Separation for Document Layout Detection of Old Document Images Using Non-linear Diffusion and Level Set☆
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TLDR
The proposed method detects the layout of the scanned document even when the image and the text regions have irregular shape, and shows that the proposed method works when the document contain multiple images.About:
This article is published in Procedia Computer Science.The article was published on 2016-01-01 and is currently open access. It has received 16 citations till now. The article focuses on the topics: Document layout analysis & Optical character recognition.read more
Citations
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Journal ArticleDOI
Text and graphics segmentation of newspapers printed in Gurmukhi script: a hybrid approach
TL;DR: A very simple and effective hybrid approach based on run length smoothing algorithm and projection profile to segment an image from text in Gurmukhi script newspaper articles is proposed.
Journal ArticleDOI
Adaptive shock-diffusion model for restoration of degraded document images
Jiebin Guo,Chuanjiang He +1 more
TL;DR: Numerical experiments show that the proposed adaptive enhancement model is very effective for restoration of degraded document images with blur, noise and bleed-through, and has averagely the best performance on the DIBCO (Document Image Binarization Competition) series datasets, compared to five PDE (partial differential equation)-based models.
Journal ArticleDOI
Improved integer/fractional order partial differential equation-based thresholding
TL;DR: An improved partial differential equation (PDE)-based binarization model is presented, which utilizes a modified structure tensor-based edge enhancement, diffusion and Binarization terms in its formulation, which enables simultaneous stain removal and faded text restoration during the binarized process.
Proceedings Article
Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers.
TL;DR: An intelligent image analysis approach to automatically detect poems in digitally archived historic newspapers by integrating computer vision and machine learning to train an artificial neural network to determine whether an image has poetic text.
Journal ArticleDOI
Cross-validation of a semantic segmentation network for natural history collection specimens
Abraham Nieva de la Hidalga,Paul L. Rosin,Xianfang Sun,Laurence Livermore,James Durrant,James Turner,Mathias Dillen,Alicia Musson,Sarah Phillips,Quentin Groom,Alex Hardisty +10 more
TL;DR: In this article , a cross-validation approach is proposed to determine whether a semantic segmentation network possesses the flexibility required for application across different collections and institutions, which can be used to test the adaptability of the segmentation networks for use in other types of collections.
References
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TL;DR: In this article, a constrained optimization type of numerical algorithm for removing noise from images is presented, where the total variation of the image is minimized subject to constraints involving the statistics of the noise.
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Scale-space and edge detection using anisotropic diffusion
Pietro Perona,Jitendra Malik +1 more
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Active contours without edges
Tony F. Chan,Luminita A. Vese +1 more
TL;DR: A new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets is proposed, which can detect objects whose boundaries are not necessarily defined by the gradient.
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The structure of images
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Document analysis system
TL;DR: The requirements and components for a proposed Document Analysis System, which assists a user in encoding printed documents for computer processing, are outlined and several critical functions have been investigated and the technical approaches are discussed.