Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm

Table 3

Utilized features for the extraction.

Parameter	Equation	Parameter	Equation
Elongation		Compactness
Area		Mean
Perimeter		Correlation
Variance		Solidity
Invariant moments		Entropy
	Elongation				Eccentricity
	Rectangularity				Energy
Irregularity index		Standard deviation
Form factor

MN describes the image size, defines the external side length for the boundary pixel, defines the pixels intensity amount at position (i, j), and describe the mean value and the standard deviation, orderly, and and present the major axis and the minor axis, respectively. However, some of the above features have a high impact, and some others have a low impact on feature extraction.