医学图像纹理分析综述

Shahabaz, D. Somwanshi, A. Yadav, R. Roy
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引用次数: 15

摘要

抽象纹理分析是一种常用的压缩测试方法,用于发现图像的纹理特性。回顾了35篇以上与织构分析相关的IEEE研究论文;论文发表于1992年至2016年之间。从这些论文中深入分析并提取共同的发现,优势,劣势,差距以及建议的技术之间的比较。这些建议的方法被用来计算各种纹理特征(参数)基于图像直方图,共现和游程矩阵。本文讨论了纹理分析中的分割、分类等问题。本文将为今后的织构分析工作提供思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Medical images texture analysis: A review
The abstract texture analysis is a popular compression test for finding texture properties of images. Above 35 IEEE research papers were reviewed related to texture analysis; papers were published in between 1992 to 2016. From those papers analyzed in depth and extracted common findings, strengths, weaknesses, gaps and also a comparison between suggested techniques. These suggested methods were used to compute a variety of texture features (parameters) based on image histogram, co-occurrence, and run-length matrices. In this paper, the problems of texture analysis such as segmentation, and classification were discussed. From this paper, the researcher will get an idea for their future work in texture analysis.
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