纹理(宇宙学)
计算机科学
图像纹理
多样性(控制论)
光学(聚焦)
人工智能
图像处理
数据科学
图像(数学)
光学
物理
作者
Maryam Khaksar Ghalati,Ana Nunes,Hugo Ferreira,Pedro Serranho,Rui Bernardes
标识
DOI:10.1109/rbme.2021.3115703
摘要
Texture analysis describes a variety of image analysis techniques that quantify the variation in intensity and pattern. This paper provides an overview of several texture analysis approaches addressing the rationale supporting them, their advantages, drawbacks, and applications. This survey's emphasis is in collecting and categorising over five decades of active research on texture analysis. Brief descriptions of different approaches are presented along with application examples. From a broad range of texture analysis applications, this survey's final focus is on biomedical image analysis. An up-to-date list of biological tissues and organs in which disorders produce texture changes that may be used to spot disease onset and progression is provided. Finally, the role of texture analysis methods as biomarkers of disease is summarised.
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