Weather Condition Identification Using Edge Detection Method for Early Warning System

This study is a preliminary examination of edge detection methods for the given data set produced by a numerical weather prediction model. This research compares three edge detection methods: Laplacian, Sobel and Canny. Each method is applied to images that represent flight weather information, specifically low-level wind shear and low level. The area coverage is the Indonesian region with -10° to 10° latitude and 95° to 145° longitude range. Moreover, hue, saturation and value (HSV) colour space is performed in the pre-processing stage to give a better performance. The characteristics of the test results are obtained and then used as the basis for selecting the most effective method to be implemented in the system. The Laplacian and Canny methods are capable of fulfilling the requirement even though the three methods generally are capable of detecting edges in the given images.