Sky Detection in Images for Solar Exposure Prediction

This project describes a technique for segmenting t he area of sky in an image from the remainder of the image. Th is can then be used for predicting solar exposure at a location at any time of the day on any day of the year, using a new techniq ue which involves image processing. A series of photos is ta ken from a location of interest and then processed to separate the areas of sky from the rest of the image. The sunlight that will fall on the location from where the images were taken can then be calculated. Critical to the success of this techniqu e is the image processing used to separate the sky from the rest o f the image. This paper is concerned with finding a technique wh ich can do this for images taken under different conditions.