The dermatoscopy images play an essential role in the identification of skin diseases such as granular parakeratosis.
This disease appears as an intertrigo or as a non intertriginous rash (intertrigo is nothing but rash in the body folds) and
sometimes causes itchy. Extracting the features from skin lesion image is very important for the classification of skin disease.
Some features such as shape, size, and color can be extracted from the image depending upon the ABCD (asymmetry, border,
color and diameter) rule of dermoscopy. These extracted features are mainly used to determine asymmetry and border
irregularity. Asymmetry is one of the main attributes in the early detection of skin disease. The dermatologists inspect shape and
irregular color distribution to identify the lesion asymmetry. This paper provides a large set of skin lesion feature extraction
approaches for the lesion analysis.
