Pt1420 Unit 3.4 Glcm
3.3 Fractal dimension:
Hausdorff’s dimension is the generally used represention for fractal dimension .Considering an object that possesses an Euclidean dimension R,the Hausdorff’s fractal dimension F0 can be computed by the following expression: F0 = lim┬(e→0)log〖N(e〗 )/log〖e⁻¹〗 where N(e) is the counting of hyper-cubes of dimension R and length e that fill the object.
But here fractal dimension is obtained using box counting algorithm .[15]
3.4 GLCM is the widely used statistical method for feature extraction.The number of gray levels present in the input image becomes the number of rows and columns in the matrix.
In a GLCM matrix, N is the number of gray levels in an image with different values. Each element p(i,j,d,ө)
Hausdorff’s dimension is the generally used represention for fractal dimension .Considering an object that possesses an Euclidean dimension R,the Hausdorff’s fractal dimension F0 can be computed by the following expression: F0 = lim┬(e→0)log〖N(e〗 )/log〖e⁻¹〗 where N(e) is the counting of hyper-cubes of dimension R and length e that fill the object.
But here fractal dimension is obtained using box counting algorithm .[15]
3.4 GLCM is the widely used statistical method for feature extraction.The number of gray levels present in the input image becomes the number of rows and columns in the matrix.
In a GLCM matrix, N is the number of gray levels in an image with different values. Each element p(i,j,d,ө)