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Titlebook: Digital Image Processing using SCILAB; Rohit M. Thanki,Ashish M. Kothari Book 2019 Springer International Publishing AG, part of Springer

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发表于 2025-3-21 19:55:44 | 显示全部楼层 |阅读模式
书目名称Digital Image Processing using SCILAB
编辑Rohit M. Thanki,Ashish M. Kothari
视频video
概述Presents basic theories and mathematical of theories for digital image fundamentals and image processing algorithms.Covers information of various image processing transforms and their different applic
图书封面Titlebook: Digital Image Processing using SCILAB;  Rohit M. Thanki,Ashish M. Kothari Book 2019 Springer International Publishing AG, part of Springer
描述.This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts. The book includes more than sixty SCILAB programs of the image processing theory. In the appendix, readers will find a deeper glimpse into the research areas in the image processing..
出版日期Book 2019
关键词SCILAB; Open Source Software; Digital Image Processing using SCILAB; Digital Image Processing; SCILAB Pr
版次1
doihttps://doi.org/10.1007/978-3-319-89533-8
isbn_softcover978-3-030-07795-2
isbn_ebook978-3-319-89533-8
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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https://doi.org/10.1007/978-3-319-89533-8SCILAB; Open Source Software; Digital Image Processing using SCILAB; Digital Image Processing; SCILAB Pr
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Richard Hooker and the English ReformationThis chapter discusses basic image processing in the spatial domain. Information on several methods for image enhancement, the histogram of an image and its processing, various filters for image enhancement, and image enhancement using different arithmetic and logic operations are given in this chapter.
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https://doi.org/10.1007/978-1-349-08144-8This chapter provides basic operations for image restoration and discusses several types of noise. We also provide SCILAB codes for various theories related to image restoration and reconstruction.
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https://doi.org/10.1057/9781137352705This chapter provides an overview of morphological image processing. Several methods for morphological image processing are discussed and their SCILAB codes are also given.
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Pragmatism’s Constructive ProjectThis chapter covers basic theories of image segmentation, including information on edge detection algorithms. SCILAB codes for these theories and example images are provided.
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