HMM-DTW BASED IMAGE CLASSIFICATION WITH INTEGRATED CONVOLUTION MODEL TO ACHIEVE HIGHER PRECISION MODEL FOR DENTAL X-RAY IMAGE.

Abstract

Bio-medical imaging processing has been a great importance for cancerous cell detection for MRI, X-ray or any other form of images. Due to gray-white characteristics the noises in bio-medical imaging are huge. Hidden Markov Model (HMM) has proven best in facial recognition system due to its high ability of reduction of noises and analysis of particular types edge features. We have integrated Discrete Wavelets Transform (DWT) analysis integrated with neural network for HMM model optimization for reducing of high computational complexity involved in the bio-imaging processing. We have taken teeth x-ray dataset for training of machine learning model for making of computational complexity reduction. We were successfully able to achieve 98% precision model for any new x-ray dataset for calculating or detection of cancerous tissues. The total of 100 images were used to integrate HMM-DWT based machine learning model for Analyzing of bio-medical teeth x-ray analysis.