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2023 | OriginalPaper | Chapter

Different Thresholding Techniques in Image Processing : A Review

Authors : Radha Seelaboyina, Rajeev Vishwakarma

Published in: ICDSMLA 2021

Publisher: Springer Nature Singapore

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Abstract

Document data is captured through optical scanning or digital video, resulting in a file of picture elements, or pixels, which serves as the raw input for document analysis. These pixels are samples of intensity values taken in a grid pattern throughout the document page, with intensity values ranging from OFF (0) to ON (1) for binary pictures, 0–255 for gray-scale images, and 3 channels of 0–255 color values for color images. The initial stage in document analysis is to process this image so that it may be analyzed further. Thresholding is used to convert a gray-scale or color image to a binary image, and noise reduction is used to remove superfluous data. The goal of this paper is to summarize some thresholding technique for image processing.

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Metadata
Title
Different Thresholding Techniques in Image Processing : A Review
Authors
Radha Seelaboyina
Rajeev Vishwakarma
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
ICDSMLA 2021

Print ISBN: 978-981-19-5935-6

Electronic ISBN: 978-981-19-5936-3

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-5936-3_3

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