UNSUPERVISED LUMBAR SPINE IMAGE SEGMENTATION USING ENHANCED ROR WITH IMPROVED PRINCIPAL COMPONENT ANALYSIS

Dr.B.Suresh Kumar Associate Professor, sureshkumar@ajkcas.com
Dr.P.Senthil Kumar Assistant Professor & Head, Department of Computer Science, AJK College of Arts and Science, Coimbatore-641105, senthilkumar@ajkcas.com

Abstract

This chapter proposes an enhanced ROR using improved principal component analysis (IPCA) with wavelet feature extraction for lumbar spine image segmentation. Initially the preprocessing is carried out with improved principal component analysis followed up with wavelet feature extraction. Then segmentation is carried out using enhanced ROR technique.

Keywords:

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IPCA (Improved Principal Component Analysis), ROR (Robust Oulyingness Ratio, PCA (Principal Component Analysis), DWT (Discrete Wavelet Transform), Supervised, Unsupervised,

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