Computer Analysis of Visual Image Similarity

This paper is a description of image analysis and machine-learning algorithms used for multiclass image classification in the process of our participation in the ImageCLEF 2012 competition. Our goal was to develop an application that could successfully determine the location of a mobile robot using the visual information provided by a camera placed on the robot. The resulting application uses machine-learning methods that improved on self-organizing Kohonen maps and classification algorithms based on probabilistic models. The result of our work was an application that was able to correctly classify 86 percent of input images presented in the ImageCLEF Robot Vision task.