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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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Journal Article

Weld Defect Detection in Industrial Radiography Based Digital Image Processing

TL;DR: This paper describes the attempt to develop and implement digital image processing algorithms based on global and local approaches for the purpose of automatic defect detection in radiographic images.
Journal ArticleDOI

Document image binarization using local features and Gaussian mixture modeling

TL;DR: This paper addresses the document image binarization problem with a three-stage procedure that offers robust and fast performance, especially for both handwritten and printed documents, which compares favorably with otherbinarization methods.
Proceedings ArticleDOI

Locally adaptive texture features for multispectral face recognition

TL;DR: This work introduces a new locally adaptive texture features for efficient multispectral face recognition called Local Adaptive Ternary Pattern (LATP), based on the LTP, which determines the local pattern threshold automatically using local statistics.
Proceedings ArticleDOI

A recursive Otsu thresholding method for scanned document binarization

TL;DR: This paper combines a recursive extension of Otsu thresholding and selective bilateral filtering to allow automatic binarization and segmentation of handwritten text images and shows that these techniques segment the text in historical documents comparable to and in some cases better than many state-of-the-art approaches.
Journal ArticleDOI

FAIR: A Fast Algorithm for Document Image Restoration

TL;DR: The FAIR algorithm is presented, in this paper, a fast algorithm for document image restoration based on a double-threshold edge detection approach that makes it possible to detect small details while remaining robust against noise.
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