Color Quantization of Dermoscopy Images Using the K-Means Clustering Algorithm

摘要: Color quantization (CQ) is an important operation with various applications in medical image analysis. Most methods are essentially based on data clustering algorithms. However, despite its popularity as a general purpose algorithm, k-means has not received much respect the CQ literature because of high computational requirements and sensitivity to initialization. In this chapter, we investigate performance recently proposed method. Experiments diverse set dermoscopy images skin lesions demonstrate that efficient implementation appropriate initialization strategy can fact serve very effective color quantizer.