Vector quantization - image clustering

The development of technology in the field of digital media generates huge amounts of non-textual information in the form of images. If programs could comprehend the significance of these images and understand what they mean, this could result in a vast number of different applications. One such application could be the use of robots to extract malign tissue from hospital patients using body scan images to interpret the location of the tissue. Images are considered one of the most important media for conveying information. The potential for the retrieval of information is vast, so much so that users may be overwhelmed by the sheer amount of information retrieved. The unstructured format of images challenges classification and clustering techniques. Machine learning algorithms are used to extract information to understand images. One of the first steps towards understanding images is to segment them and identify the different objects within them. To...