数字图像处理
计算机视觉
人工智能
图像处理
计算机科学
数字图像
数字成像
图像分析
图像分割
分割
量化(信号处理)
样品(材料)
模式识别(心理学)
图像(数学)
物理
热力学
作者
Sidnei Paciornik,Marcos Henrique de Pinho Maurício
出处
期刊:ASM International eBooks
[ASM International]
日期:2004-12-01
卷期号:: 368-402
被引量:20
标识
DOI:10.31399/asm.hb.v09.a0003757
摘要
Abstract This article reviews the main theoretical and practical aspects of sequence normally followed in digital image-acquisition, processing, analysis, and output for material characterization. It discusses the main methods of digital imaging, image processing, and analysis, as applied to microscopy of materials. The article describes the basic concepts of sampling and resolution and quantization of light microscopy, scanning electron microscopy, and transmission electron microscopy. It discusses the acquisition of a digital image that accurately represents the sample under observation and output of the image to a printer. The methods used to enhance the digital image and to extract quantitative information are also described. Different types of image segmentation, namely, adaptive segmentation and contour-based segmentation, are reviewed. The article also presents case studies on the application of image processing and analysis to materials characterization.
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