Object Detection Using the Canny Edge Detector

Object detection is one of the applications in computer vision where an image is searched for the presence of an object. An object can be described by its features like its shape or its texture. The shape of a 2-D object is made up of its edges. Many algorithms are currently in use in image processing for detecting the edges in an image. This edge information extracted from the image can be used for object detection. This paper presents an approach for object detection using the Canny edge detector. The approach proceeds by obtaining the edges from the query image which is the image which must be tested for the occurrence of the object and the image of the object to be detected and then employing a template matching procedure.