Results 21 to 30 of about 33,048 (289)
Using Paper Texture for Choosing a Suitable Algorithm for Scanned Document Image Binarization
The intrinsic features of documents, such as paper color, texture, aging, translucency, the kind of printing, typing or handwriting, etc., are important with regard to how to process and enhance their image. Image binarization is the process of producing
Rafael Dueire Lins +3 more
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DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning [PDF]
This paper presents a novel iterative deep learning framework and apply it for document enhancement and binarization. Unlike the traditional methods which predict the binary label of each pixel on the input image, we train the neural network to learn the
He, Sheng, Schomaker, Lambert
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Binarized Support Vector Machines [PDF]
The widely used support vector machine (SVM) method has shown to yield very good results in supervised classification problems. Other methods such as classification trees have become more popular among practitioners than SVM thanks to their interpretability, which is an important issue in data mining.In this work, we propose an SVM-based method that ...
Emilio Carrizosa +2 more
openaire +8 more sources
In this era of digitization, most hardcopy documents are being transformed into digital formats. In the process of transformation, large quantities of documents are stored and preserved through electronic scanning.
Alaa Sulaiman +2 more
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Optical coherence tomography angiography (OCTA) provides several data regarding the status of retinal capillaries. This information can be further enlarged by employing quantitative metrics, such as vessel density (VD).
Alessandro Arrigo +5 more
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Image Segmentation by Agent-Based Pixel Homogenization
Image segmentation is the process of partitioning an image into multiple regions or objects, each representing a coherent and meaningful part of the image.
Ernesto Ayala +3 more
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Optical images-based edge detection in Synthetic Aperture Radar images [PDF]
We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by
Barrenechea, Edurne +5 more
core +2 more sources
Heuristic threshold for Histogram-based Binarization of Grayscale Images
The development of a Virtual Lab to perform experiments on histogram-based binarization of grey-leveled images is reported. With the aim of automatizing the binarization process, a Heuristic Binarization Threshold is introduced.
Javier Montenegro Joo
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Vibration intensity estimation based on image analysis of a round test object with vibration blur
Background. The vibration signal carries a lot of information about the state and internal structure of both the source and the receiver of this signal.
A.V. Grigor'ev
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