Comparative Analysis of Unsupervised and Supervised Image Classification Techniques
Sunayana G. Domadia, Tanish Zaveri · 2011
Ahmedabad Abstract-- Image classification techniques are used to classify different features available in the image. The objective of image classification is to identify the features occurring in an image in terms of the object. Image classification are applied in many areas such as medical imaging, object identification in satellite images, traffic control systems, brake light detection, machine vision, etc. Image classification techniques are mainly divided in two categories: supervised image classification techniques and unsupervised image classification techniques. In this paper different supervised and unsupervised image classification techniques are implemented, analyzed and comparison in terms of accuracy & time to classify for each algorithm are also given.