Description: 灰度共生矩阵和灰度梯度共生矩阵的提取方式,是比较重要的纹理特征提取方法,用matlab实现的-Gray Level Co-occurrence matrix and gray-gradient co-occurrence matrix extraction method is more important texture feature extraction method, using matlab realize the Platform: |
Size: 2048 |
Author:子羽 |
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Description: 灰度共生矩阵和灰度梯度共生矩阵的提取方式,是比较重要的纹理特征提取方法,用matlab实现的-Gray Level Co-occurrence matrix and gray-gradient co-occurrence matrix extraction method is more important texture feature extraction method, using matlab realize the Platform: |
Size: 2048 |
Author:明明 |
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Description: matlab编写的用于实现灰度共生矩阵,灰度-梯度共生矩阵,灰度直方图,协方差系数,LOG滤波器的源代码了。全部经过测试,可以直接使用。对于做纹理分析很有帮助。一共有五个代码-matlab prepared for the realization of Gray Level Co-occurrence matrix, gray- gradient co-occurrence matrix, gray histogram, covariance coefficients, LOG source code of the filter. All tested and can be used directly. Useful for texture analysis done. A total of five code Platform: |
Size: 4096 |
Author:jd |
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Description: 文献 基于灰度-梯度共生矩阵的视网膜血管分割方法-Literature based on the gray- the gradient co-occurrence matrix of the retinal blood vessel segmentation method Platform: |
Size: 173056 |
Author:zhanglei |
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Description: 基于灰度2梯度共生矩阵模型
和最大熵原理的灰度图像的自动阈值化技术, 该方法不仅利用了图像的灰度信息, 而且也利用了图像的梯度信息.-Based on Gray-2 gradient co-occurrence matrix model and the maximum entropy principle of gray-scale image of the automatic threshold-based techniques, the method is not only the use of the image gray level information, but also the use of the image gradient information. Platform: |
Size: 121856 |
Author:ZHANG |
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Description: 建武和申铉京等人充分利用图像空间邻域信息,引入均值-中值-梯度共生矩阵模型,并结合Renyi熵相关理论, 提出一种结合纹理信息的三维Renyi熵阈值分割算法. 同时给出了该方法的快速递推公式。-Jianwu and Shin Hyun Beijing, who make full use of the image spatial information, the introduction of the mean- in value- gradient co-occurrence matrix models, combined with the Renyi entropy theory, put forward a combination of the three-dimensional texture information Renyi entropy threshold segmentation algorithm at the same time to fast recursive formula of the method. Platform: |
Size: 897024 |
Author:朱磊 |
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Description: Based on the analysis of methods of CBIR and
chest image characteristic, in this paper, color
correlogam, dominant color of partition, gray level
co-occurrence matrix, gray-gradient co-occurrence
matrix and shape invariant moments were extracted as
retrieval feature. After comparison of their retrievals,
feature fusion and relevance feedback is proposed.
Experiments proved that the combining color, texture
with shape feature gets effective retrieval and relevance
feedback further more improves retrie Platform: |
Size: 900096 |
Author:Salkoum |
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