Texture feature values computed from a benign glandular structure in the gland dataset. The upper left plot shows the original Haralick features that increase rapidly with the number of gray-levels. The middle left plot shows original Haralick features that increase modestly, or reach a plateau with increasing number of gray-levels. The bottom left plot shows original Haralick features that decrease with increasing number of gray-levels. The right column shows the corresponding invariant features. Note that the original features are plotted on a log-scale to accommodate the wide range of values. The Information measure of Correlation 2 and Correlation overlap in the original features. The Information Measure of Correlation 1 is negative in ...
Classification of breast cancer is essential in determining the type of treatment that should be app...
Texture measures are commonly used to increase the number of input bands in order to improve classif...
International audienceThe research purpose is to improve surface characterization based on what is p...
In a 4 × 4 image, three gray-levels are represented by numerical values from 1 to 3. The GLCM is con...
Haralick texture features are common texture descriptors in image analysis. To compute the Haralick ...
Haralick texture features are common texture descriptors in image analysis. To compute the Haralick ...
The box plots of the five Haralick features values obtained for the 74 gray-level Raman maps accordi...
Example of how the GLCM is calculated for a given 4x4 pixel image (a) with the corresponding numeric...
Texture features were computed for a range of quantization gray-levels from a region in the cerebell...
PURPOSE:Image texture is increasingly used to discriminate tissues and lesions in PET/CT. For quanti...
PurposeImage texture is increasingly used to discriminate tissues and lesions in PET/CT. For quantif...
<p>(<b>A</b>) Each bar represents the strength of correlation between fixation and low-level feature...
In recent years, texture analysis of medical images has become increasingly popular in studies inves...
The corresponding q values (FDR adjusted p-values) are provided in brackets. Correlation coefficient...
Introduction: The gray-level co-occurrence matrix (GLCM) reduces the dimension of an image to a squa...
Classification of breast cancer is essential in determining the type of treatment that should be app...
Texture measures are commonly used to increase the number of input bands in order to improve classif...
International audienceThe research purpose is to improve surface characterization based on what is p...
In a 4 × 4 image, three gray-levels are represented by numerical values from 1 to 3. The GLCM is con...
Haralick texture features are common texture descriptors in image analysis. To compute the Haralick ...
Haralick texture features are common texture descriptors in image analysis. To compute the Haralick ...
The box plots of the five Haralick features values obtained for the 74 gray-level Raman maps accordi...
Example of how the GLCM is calculated for a given 4x4 pixel image (a) with the corresponding numeric...
Texture features were computed for a range of quantization gray-levels from a region in the cerebell...
PURPOSE:Image texture is increasingly used to discriminate tissues and lesions in PET/CT. For quanti...
PurposeImage texture is increasingly used to discriminate tissues and lesions in PET/CT. For quantif...
<p>(<b>A</b>) Each bar represents the strength of correlation between fixation and low-level feature...
In recent years, texture analysis of medical images has become increasingly popular in studies inves...
The corresponding q values (FDR adjusted p-values) are provided in brackets. Correlation coefficient...
Introduction: The gray-level co-occurrence matrix (GLCM) reduces the dimension of an image to a squa...
Classification of breast cancer is essential in determining the type of treatment that should be app...
Texture measures are commonly used to increase the number of input bands in order to improve classif...
International audienceThe research purpose is to improve surface characterization based on what is p...