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纹理分析的二维增量:理论验证和适用于结肠癌图像的应用

Muqaddas Abid¹, Muhammad Suzuri Hitam¹, Rozniza Ali¹

¹Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Kuala Terengganu 21030, Malaysia.

Entropy (Basel, Switzerland)

|January 24, 2025

概括

我们为图像纹理分析引入二维增量 (IncrEn2D). 这种新的方法在分类纹理和医疗图像方面优于现有的技术.

科学领域:

图像分析图像分析
质地特征表征质地特征表征
的措施的措施

背景情况:

算法量化数据的不规则性,在二维图像分析中至关重要.
一维增量有效地检测信号变化.
现有的二维度测量在纹理分析方面存在局限性.

研究的目的:

为图像纹理分析引入一种新的二维增量 (IncrEn2D).
用两个字母表示大小和方向的词来编码图像增量.
评估IncrEn2D的性能与已建立的二维方法相比.

主要方法:

开发了IncrEn2D,通过将图像增量翻译成两个字母的单词.
应用IncrEn2D到MIX (p) 工艺,合成纹理,Kylberg数据集和医学图像.
为了验证,使用了具有多尺度特征的支向量机.

主要成果:

IncrEn2D有效地分析图像纹理和医疗图像.
在各种数据集上的实验验证证明了IncrEn2D的功能.
对比分析显示,IncrEn2D的分类准确度高于SampEn2和DispEn2.

结论:

IncrEn2D是一个强大的新工具,用于图像分析和纹理表征.
与现有的二维测量相比,IncrEn2D提供了更高的性能.
该方法对医学图像分析及其他领域的应用具有前景.

关键词:

生物医学成像成像技术多层次的增量.质地分析,质地分析.纹理不规则性纹理不规则性二维增量的二维增量.

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