Texture Image Segmentation Based on GLCM

The paper proposed a method on marble texture image segmentation based on Gray Level Co-occurrence Matrix (GLCM). At first, compute the Contrast matrix on basis of GLCM. Then choose the maximum of the matrix as the threshold to segment the object. At last extract the object contour with curve fitting method. Experiment results show that the method is accuracy.

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Texture Image Segmentation Based on Gaussian Mixture Models and Gray Level Co-occurrence Matrix

2010 Third International Symposium on Information Science and Engineering ◽

10.1109/isise.2010.9 ◽

2010 ◽

Cited By ~ 3

Author(s):

Jian Yu

Keyword(s):

Image Segmentation ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Gray Level ◽

Texture Image ◽

Texture Image Segmentation ◽

Occurrence Matrix

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A fast and adaptive method to estimate texture statistics by the spatial gray level dependence matrix (SGLDM) for texture image segmentation

Pattern Recognition Letters ◽

10.1016/0167-8655(92)90079-f ◽

1992 ◽

Vol 13 (4) ◽

pp. 291-303 ◽

Cited By ~ 6

Author(s):

Jeong Hwan Lee ◽

Nam II Lee ◽

Seong Dae Kim

Keyword(s):

Image Segmentation ◽

Adaptive Method ◽

Gray Level ◽

Texture Image ◽

Texture Image Segmentation

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A New Concept of Optical Encoder Displacement Sensors: Gray Encoding Patterns and a Curve Fitting Method

Materials Science Forum ◽

10.4028/www.scientific.net/msf.505-507.349 ◽

2006 ◽

Vol 505-507 ◽

pp. 349-354

Author(s):

Yeh Fen Fu ◽

Lih Horng Shyu ◽

Y.T. Chen ◽

Wen Yuh Jywe ◽

C.H. Liu

Keyword(s):

Harmonic Function ◽

Curve Fitting ◽

Measurement Method ◽

Single Frequency ◽

Gray Level ◽

Optical Encoder ◽

Displacement Sensors ◽

Fitting Method ◽

Curve Fitting Method ◽

Frequency Harmonic

A new optical encoder system is presented for displacement measurement by the curve fitting method. In this paper, another pondering model is based on the previous development. That is the new measurement method using a homemade periodical gray level code, which can be used to replace the traditional doublet grating. A high precision is achieved by a fitting method with one single-frequency harmonic function. The experiment result shows that the concept is feasible.

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Texture image segmentation based on the elements of Gray Level Aura Matrices

2014 Global Summit on Computer & Information Technology (GSCIT) ◽

10.1109/gscit.2014.6970106 ◽

2014 ◽

Author(s):

Zohra Haliche ◽

Kamal Hammouche ◽

Jack-Gerard Postaire

Keyword(s):

Image Segmentation ◽

Gray Level ◽

Texture Image ◽

Texture Image Segmentation

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Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System Performance

Metrology and Measurement Systems ◽

10.2478/v10178-012-0033-8 ◽

2012 ◽

Vol 19 (2) ◽

pp. 381-394

Author(s):

José Pereira ◽

Octavian Postolache ◽

Pedro Girão

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Measurement System ◽

Curve Fitting ◽

System Performance ◽

Redox Potentials ◽

Voltage Sweep ◽

Gaussian Curve ◽

Fitting Method ◽

Curve Fitting Method

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System PerformanceThis paper presents a voltammetric segmented voltage sweep mode that can be used to identify and measure heavy metals' concentrations. The proposed sweep mode covers a set of voltage ranges that are centered around the redox potentials of the metals that are under analysis. The heavy metal measurement system can take advantage of the historical database of measurements to identify the metals with higher concentrations in a given geographical area, and perform a segmented sweep around predefined voltage ranges or, alternatively, the system can perform a fast linear voltage sweep to identify the voltammetric current peaks and then perform a segmented voltage sweep around the set of voltages that are associated with the voltammetric current peaks. The paper also includes the presentation of two auto-calibration modes that can be used to improve system's reliability and proposes the usage of a Gaussian curve fitting of voltammetric data to identify heavy metals and to evaluate their concentrations. Several simulation and experimental results, that validate the theoretical expectations, are also presented in the paper.

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A Useful Curve Fitting Method for Concrete Uniaxial Compressive Experiment Data

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.291-294.1015 ◽

2011 ◽

Vol 291-294 ◽

pp. 1015-1020 ◽

Cited By ~ 1

Author(s):

Chong Jin ◽

Hong Wang ◽

Xiao Zhou Xia

Keyword(s):

Experimental Data ◽

Orthogonal Polynomial ◽

Least Square ◽

Base Function ◽

Concrete Material ◽

Fitting Method ◽

Orthogonal Base ◽

The Matrix ◽

Uniform Function ◽

Curve Fitting Method

Based on the superiority avoiding the matrix equation to be morbid for those fitting functions constructed by orthogonal base, the Legendre orthogonal polynomial is adopted to fit the experimental data of concrete uniaxial compression stress-strain curves under the frame of least-square. With the help of FORTRAN programming, 3 series of experimental data is fitted. And the fitting effect is very satisfactory when the item number of orthogonal base is not less than 5. What’s more, compared with those piecewise fitting functions, the Legendre orthogonal polynomial fitting function obtained can be introduced into the nonlinear harden-soften character of concrete constitute law more convenient because of its uniform function form and continuous derived feature. And the fitting idea by orthogonal base function will provide a widely road for studying the constitute law of concrete material.

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