cooccurrence matrix

cooccurrence matrix

(mathematics)
Given a position operator P(i,j), let A be a nxn matrix whose element A[i][j] is the number of times that points with grey level (intensity) g[i] occur, in the position specified by P, relative to points with grey level g[j]. Let C be the nxn matrix that is produced by dividing A with the total number of point pairs that satisfy P. C[i][j] is a measure of the joint probability that a pair of points satisfying P will have values g[i], g[j]. C is called a cooccurrence matrix defined by P. Examples for the operator P are: "i above j", "i one position to the right and two below j", etc.
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References in periodicals archive ?
Color cooccurrence matrix is used for HSV color space [9].
The SOE as defined in [12] uses a cooccurrence matrix to consider the spatial correlation.
Hao and Zhang [8] extracted the first-order statistical feature, gray level cooccurrence matrix feature, and gray stroke matrix feature of normal liver CT image and primary liver cancer CT images and then selected features by t-test method.
The process of classification of pathological images is as follows: firstly, we map the liver pathological images into entropy space, LBP space, R space, and B space and extract the ACHLAC features and gray level cooccurrence matrix (GLCM) features.
Feature extraction techniques mainly include first-order histogram based features, cooccurrence matrix based features, and multiscale features [4].
From the cooccurrence matrix, the features such as cluster prominence, cluster shade, contrast, and local homogeneity are given by Arivazhagan and Ganesan [9].
An investigation of the Textural Characteristics Associated with Gray Level Cooccurrence Matrix Statistical Parameters, IEEE Trans.
The feature extraction method used is the cooccurrence matrix method, which reduces the amount of data and design of classifier.
These measurements include the cooccurrence matrix, explained in detail by Theodoridis and Koutroumbas [14] and used to analyze the echographic structures of skin and liver tissues [12,15-17], and randomly weighted frequency components of the intensity values, used to calculate the frequency band energy in the region of interest (ROI) as a measure of echogenicity [13].
We used the cooccurrence matrix to study the ROI texture.
The statistical methods mainly include Statistical Histogram properties [2, 3], gray level cooccurrence matrix [4, 5], and morphological operations [6-9].
The main purpose of this paper is to evaluate the effectiveness of several Haralick descriptors, based on the cooccurrence matrix, in order to measure the surface roughness in metallic parts.