...到9个特征波长(434、528、559、595、652、678、692、728、954 nm),对图像数据利用灰度共生矩阵(gray level co-occurrence matrix,GLCM)提取到6项图像纹理指标(均值、对比度、相关性、能量、同质性和熵),并对图像数据采用RGB模型提取到6项图像颜色指标(R、G、B分...
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针对CWC算法计算灰度共生矩阵(Gray Level Co-occurrence Matrix, GLCM)步骤时间消耗较大的问题,利用Mean Shift思想对灰度共生矩阵计算进行改进,提出了基于Me..
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统计分析方法中,最常用的是共生矩阵法,其中有灰度共生矩阵(gray level co-occurrence matrix , GLCM)和灰度—梯度共生矩阵。杜克大学的R.
基于4个网页-相关网页
统计分析方法中,最常用的是共生矩阵法,其中有灰度共生矩阵(gray level co-occurrence matrix , GLCM)和灰度—梯度共生矩阵。杜克大学的R.
基于4个网页-相关网页
Gray-level co-occurrence matrix 灰度共生矩阵 ; 灰阶共生矩阵
Mean Shift-Gray Level Co-occurrence Matrix 矩阵计算算法
text gray-level co-occurrence matrix 灰度共生矩阵
gray-level co-occurrence matrix glcm 灰度共生矩阵
synthesized gray level co-occurrence matrix 综合灰度共生矩阵
neighborhood gray-level co-occurrence matrix 邻域共生矩阵
It presents a new region growing algorithm with gray level co-occurrence matrix to extract the focus region,the threshold segmentation is applied to improve the edge of segmented region.
为了提取局部感兴趣区域,给出了一种基于灰度层共现矩阵的区域增长算法,分割出病灶区域,再结合迭代阈值算法进行病灶边界的磨合。
参考来源 - 融合区域和全局特征提取的医学图像检索技术 in CFor the non-spectra characteristics supporting the classification of remote sensing images,in this paper, it is based on the gray level co-occurrence matrix to extract the texture images. Then put the image texture classification in the form of spectral characteristics classification.
对于非光谱特征辅助遥感影像的分类中，本文采用了基于灰度共生矩阵提取纹理影像特征的方法，然后将纹理特征影像参与到光谱特征中分类的方式进行分类，并对分类结果进行了分析和比较。
参考来源 - 遥感影像的计算机分类技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Gray level co-occurrence matrix is a very important method in image texture analysis.
灰度共生矩阵法是图像纹理分析中一种十分重要的方法。
With regard to the copy-move forgery of image region, this paper proposes a detection algorithm based on gray level co-occurrence matrix.
针对图像区域复制—粘贴篡改，提出了一种基于灰度共生矩阵的检测算法。
It presents a new region growing algorithm with gray level co-occurrence matrix to extract the focus region, the threshold segmentation is applied to improve the edge of segmented region.
为了提取局部感兴趣区域，给出了一种基于灰度层共现矩阵的区域增长算法，分割出病灶区域，再结合迭代阈值算法进行病灶边界的磨合。
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