实验表明,将灰度共生矩阵(GLCM)作为支撑向量机的练习对象,后果并不好;采取Gabor小波特点进行练习,其成果也不太幻想;而采取SIFT特点进行练习,其成果也较差(略...
基于727个网页-相关网页
该方法首先提取了地膜的7个Hu不变矩特征(形状特征)、6个灰度共生矩阵特征(GLCM纹理特征)、40个Gabor变换的能量图像均值(Gabor纹理特征),组成一个53维的特征集,并对数据进行了归一化。
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常用的分析方法有灰度共生矩阵(GrayLevelCo-occurrence Matrices,GLCM)纹理测度 [3,4] 、基于小波的纹理分析 [5] 、基于 Markov随机场模型的纹理描述 [6]...
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GLCM describes texture features from pixel correlation of gray and the fractal dimension reflects the structure of self-similar.
灰度共生矩阵法能够从像元的灰度相关性上对纹理特征进行描述,而分形维数反映了纹理的结构自相似特征。
As there are still many difference between the remote sensing image from the same class. This paper proposes a new method of extracting features based on SFA and GLCM.
针对遥感影像中同类样本差异性较大的缺点,提出了一种基于SFA和GLCM的遥感影像特征提取方法。
In addition, a pattern analysis of SHG images using grey-level co-occurrence matrix (GLCM) was carried out, a well-established method for scoring collagen organization in skin.
另外,还使用了灰度共生矩阵(GLCM)的方法对SHG图像分析,GLCM是一种对皮肤胶原组织评分的通用方法。
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