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An introduction to digital image processing

Wayne Niblack
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The article was published on 1986-01-01 and is currently open access. It has received 1745 citations till now. The article focuses on the topics: Digital image processing & Image processing.

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Proceedings ArticleDOI

ICFHR2016 Handwritten Document Image Binarization Contest (H-DIBCO 2016)

TL;DR: The contest details including the evaluation measures used as well as the performance of the 12 submitted methods are described along with a brief description of each method.
Journal ArticleDOI

Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives

TL;DR: In this paper, the authors present an in-depth study of the literature on segmentation methods applied in dental imaging and present a preliminary application of the MASK recurrent convolutional neural network to demonstrate the power of a deep learning method to segment images from their data set.
Journal ArticleDOI

Detection of Diabetic Retinopathy Using Sobel edge detection method in DIP

TL;DR: Using MATLAB for programming to develop the DIP tool for diagnosis of eye infection, Sobel edge detection algorithm is a method to find the edge pixels in an image and sobel method is best technique for features.
Journal ArticleDOI

Document image binarization based on topographic analysis using a water flow model

TL;DR: Computer simulation with synthetic and real document images shows that the proposed method yields effective adaptive thresholding results for binarization of document images.
Journal ArticleDOI

Assumptions implicit in remote sensing data acquisition and analysis

TL;DR: This paper deals with eleven major assumptions which are implicit in the acquisition and in the analysis of passively sensed digital image data and hopes that an enumeration of such assumptions might lead to improved rules for image acquisition and analysis.
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