Skin Cancer Detection Based on Extreme Learning Machine and a Developed Version of Thermal Exchange Optimization

Algorithm 1

Pseudocode of the proposed image segmentation.

	Input: the preprocessed skin dermoscopy image
	Step 1. Normalize dimension from RGB color space
	Step 2. Convert RGB color space to XYZ
	Step 3. Normalize dimension from XYZ color space
	Step 4. Apply Otsu threshold algorithm
	Step 5. Apply postprocessing method based on mathematical morphology
	Output: the segmented image