共现矩阵
像素
灰度级
人工智能
模式识别(心理学)
纹理(宇宙学)
计算机科学
图像纹理
灰度
基质(化学分析)
方向(向量空间)
强度(物理)
一般化
统计分析
计算机视觉
生物系统
数学
图像处理
图像(数学)
材料科学
统计
几何学
光学
物理
生物
数学分析
复合材料
作者
Guillaume Thibault,Jesús Angulo,Fernand Meyer
出处
期刊:IEEE Transactions on Biomedical Engineering
[Institute of Electrical and Electronics Engineers]
日期:2014-03-01
卷期号:61 (3): 630-637
被引量:192
标识
DOI:10.1109/tbme.2013.2284600
摘要
This paper presents new structural statistical matrices which are gray level size zone matrix (SZM) texture descriptor variants. The SZM is based on the cooccurrences of size/intensity of each flat zone (connected pixels with the same gray level). The first improvement increases the information processed by merging multiple gray-level quantizations and reduces the required parameter numbers. New improved descriptors were especially designed for supervised cell texture classification. They are illustrated thanks to two different databases built from quantitative cell biology. The second alternative characterizes the DNA organization during the mitosis, according to zone intensities radial distribution. The third variant is a matrix structure generalization for the fibrous texture analysis, by changing the intensity/size pair into the length/orientation pair of each region.
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