[Retracted] A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features

Table 1

Feature acquisition (ACC + POE) and Fisher (Fis).

Sr. no.	Feature	Optimized feature
1	ACC + POE	S (0, 2) sum variance
2		S (1, 0) sum average
3		S (3, 3) entropy
4		S (1, 0) correlation
5		S (5, −5) inverse diff momentum
6		S (0, 1) angle second momentum
7		S (5, 5) entropy
8		S (1, 1) sum variance
9		Skewness
10		Percent 0.01%
11	Fis	S (0, 5) correlation
12		S (0, 3) sum average
13		S (0, 4) correlation
14		S (0, 1) inverse differ momentum
15		S (2, 2) correlation
16		S (0, 4) sum average
17		S (0, 4) correlate
18		S (0, 5) contrast
19		S (0, 3) correlation
20		S (0, 3) contrast