ADAPTIVE SEGMENTATION OF IMAGES USING MACHINE LEARNING

Abstract Image Segmentation plays an important role in image processing and also for recognizing images. This paper focus on Indian based temples. Broken sculpture and ruined images in the temples are to be restored. Sculpture images are taken through photographs it is compared with similar type of images using adaptive segmentation along with machine learning. To train the datasets and make decisions without complete knowledge, of all influencing elements action to reach a specific goal and adopts statistical learning approach. By using this method similar set of images can be identified. Algorithm used for image segmentation and machine learning gives the good result. Keywords: Adaptive Segmentation, Threshold, Machine Learning, Naïve Bayesian