Description: 根据Haralick的小面模型，提取地形地貌特征的源代码，做形状或表面检测时很有用-According to the Haralick facet model, extraction of topographic features of the source code, make the shape or surface testing is useful when Platform: |
Size: 18432 |
Author:蓝新 |
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Description: 提取图像的GLCM矩阵，并计算出Haralick建议的14个特征值-Extract images GLCM matrix, and calculate the 14 Haralick features of the proposed values Platform: |
Size: 2048 |
Author:zhangjun |
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Description: This code for Haralick feature extraction for image in matlab. The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matrix is generated by counting the number of times a pixel with value i is adjacent to a pixel with value j and then dividing the entire matrix by the total number of such comparisons made.-This is code for Haralick feature extraction for image in matlab. The basis for these features is the gray-level co-occurrence matrix. This matrix is square with dimension Ng, where Ng is the number of gray levels in the image. Element [i,j] of the matrix is generated by counting the number of times a pixel with value i is adjacent to a pixel with value j and then dividing the entire matrix by the total number of such comparisons made. Platform: |
Size: 1024 |
Author:vasanth |
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Description: Runway detection using various fetaures.They are as follows Haralick feature,Basic features,Zernike moments,Circular-Mellin features,Fourier power spectrum,Gabor filters Platform: |
Size: 89088 |
Author:pavi |
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Description: 灰度共生矩阵，指的是一种通过研究灰度的空间相关特性来描述纹理的常用方法。 [1] 1973年Haralick等人提出了用灰度共生矩阵来描述纹理特征。
由于纹理是由灰度分布在空间位置上反复出现而形成的，因而在图像空间中相隔某距离的两像素之间会存在一定的灰度关系，即图像中灰度的空间相关特性。(Gray-level co-occurrence matrix refers to a common method for describing texture by studying the spatial correlation characteristics of grayscale. In 1973, Haralick et al. proposed the use of gray level co-occurrence matrix to describe texture features.
Because the texture is formed by the repeated occurrence of the gray distribution in the spatial position, there will be a certain gray relationship between the two pixels at a certain distance in the image space, that is, the spatial correlation characteristics of the gray in the image.) Platform: |
Size: 583680 |
Author:EMC |
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