Classification of Homogeneous and Heterogeneous Fog for Vision Enhancement

Abstract

Classification is the prior methodology to design vision enhancement algorithms to make them more efficient. In this reported work, mean intensity value and range of intensity level are proposed for the classification of camera images into homogeneous and heterogeneous fog due to turbid weather conditions for the first time. The use of average intensity and distribution of intensity of synthetic foggy images with different kind of fog are taken as reference to classify camera images. Proposed method is applicable to synthetic as well as camera foggy images. Simulation analysis shows that images with homogeneous fog have always higher mean intensity and narrow range of intensity level within a certain limit than heterogeneous fog.

Keywords: Classification, fog, mean intensity, homogeneous, heterogeneous