Image processing and analysis of clouds using pattern recognition for supporting weather forecasting

Audience: Undergraduate. -- Dissertation: Thesis (B. A.). -- Algoma University, 2016. -- Submitted in partial fulfillment of course requirements for COSC 4235. -- Includes figures. -- Contents: Thesis.

ABSTRACT -- Object recognition has become an enormous area of study in the field of computer vision allowing for the automated detection of known objects. The applications of this technology are vast, and this thesis looked to examine the application of a well-known approach to object detection as a method of automated identification of cloud formations: Haar classification. Using this technology, an application was developed which attempted to identify clouds within an image. The purpose of the research was to investigate the feasibility of Haar classification as a tool which could be used by weather watchers and forecasters for producing updated weather forecasts.