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Intelligent Engineering Systems through Artificial Neural Networks, Volume 20

Cihan H. Dagli
Cihan H. Dagli
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ASME Press
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In this paper, an unsupervised approach based on evolving vector quantization (EVQ) is presented for enhancing dermatology images for skin lesion segmentation. Vector quantization (VQ) as a famous compression technique has been widely used in image signal compression and speech signal compression. The EVQ algorithm extends the Linde, Buzo, and Gray (LBG) vector quantization method with particle swarm optimization to cluster the pixels inside the image based on merging similar gray value pixels. The proposed enhancement technique is evaluated using 100 dermoscopy skin lesion images for skin lesion segmentation. The EVQ algorithm is applied to the individual color planes, red,...

1. Introduction
2. Preprocessing
3. Evolving Vector Quantization
4. Postprocessing
5. Results and Discussion
6. Conclusion and Future Work
7. References
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