TEXTURE ANALYSIS USING GENERALIZED CO-OCCURRENCE MATRICES
TEXTURE ANALYSIS USING GENERALIZED CO-OCCURRENCE MATRICES
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DOI：
10.1109/tpami.1979.4766921
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发表时间：
1979-01-01
影响因子：
23.6
通讯作者：
AGGARWAL, JK
中科院分区：
文献类型：
--
作者：
DAVIS, LS;JOHNS, SA;AGGARWAL, JK
我们提出了一种新的方法来纹理分析的基础上的空间分布的局部特征在未分割的纹理。纹理描述使用来自广义共生矩阵（GCM）的功能。GCM由空间约束谓词F和局部特征集合P = {（Xi，Yi，di），i = 1，.，其中（Xi，Yi）是第i个特征的位置，并且di是第i个特征的描述。F，GF下P的GCM定义为GF（i，j）=配对数pk，pl，使得F（pk，pl）为真，di和dj分别是pk和pl的描述。我们讨论来自GCM的功能，并提出了一个实验研究，使用自然纹理。
We present a new approach to texture analysis based on the spatial distribution of local features in unsegmented textures. The textures are described using features derived from generalized co-occurrence matrices (GCM). A GCM is determined by a spatial constraint predicate F and a set of local features P = {(Xi, Yi, di), i = 1,..., m} where (Xi, Yi) is the location of the ith feature, and di is a description of the ith feature. The GCM of P under F, GF, is defined by GF(i, j) = number of pairs, pk, pl such that F(pk, pl) is true and di and dj are the descriptions of pk and pl, respectively. We discuss features derived from GCM's and present an experimental study using natural textures.