Car shape clustering using sobel edge detection with divisive average linkage and single linkage algorithm (case: bus, sedan, citycar, mpv, and truck)

Abstract

This study aims to make an application that able to make clustering for car type based on shape by using edge detection and clustering algorithm. The car types being used in this study are the image of the bus, sedan, city car, mpv, and truck. In this study, the method used to classify is with the divisive average linkage and single linkage method. The goal is to prove whether the divisive average linkage and single linkage can be used to classify the shape of the car image correctly. The shape obtained by using the Sobel edge detection method because the Sobel method is an edge detector that has advantages in reducing the noise before doing calculations so that the resulting edges form an image like the original.