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1)  Texture co-occurrence matrices
纹理共生矩阵
2)  Texture feature based on Gray-level co-occurrence matrix
基于灰度共生矩阵的纹理特征
3)  Texture matrix
纹理矩阵
4)  co-occurrence matrix
共生矩阵
1.
The Gray Level of Image Co-occurrence Matrix
图像检索中灰度共生矩阵的构造与实现
2.
Image retrieval based on blocked histograms and co-occurrence matrix
基于分块直方图和共生矩阵的图像检索方法
3.
First, the four classical texture features, including texture energy, texture entropy, texture inertial moment and local texture calmness, are calculated based on the co-occurrence matrix of the i.
该方法先计算图像的灰度共生矩阵,提取能量等纹理特征量,进行初检索,再通过Canny算子提取图像边缘,用投影法计算外边缘在垂直和水平方向上的投影,对初检索结果按形状特征进行二级检索。
5)  HIS gray symbiosis matrix
HIS共生矩阵
6)  gray level co-occurrence matrix
灰度共生矩阵
1.
Texture Image Retrival Based on Wavelet Decomposition and Gray Level Co-occurrence Matrix;
基于小波分解和灰度共生矩阵的纹理图像检索
2.
Texture segmentation on the scale co-occurrence matrix and gray level co-occurrence matrix;
基于尺度和灰度共生矩阵的纹理图像分割
3.
A Self-adaptable Method to Detect Edge in Images Based on Gray level co-occurrence matrix;
基于灰度共生矩阵的自适应图像边缘检测
补充资料:肺纹理


肺纹理


由肺动脉和肺静脉组成,支气管壁、淋巴和少量间质组织也参与肺纹理形成。正常情况下肺纹理自肺门向外围肺野逐渐减少变淡,管径依次缩小,分布渐次稀疏,至肺外带不易辨清。肺纹理多少、粗细与个体差异、呼吸状态有关。异常肺纹理阴影结构紊乱、粗细不均、边缘模糊、密度增高。
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