A Survey on Various Edge Detector Techniques

Edge detection is the first step in many computer vision applications. Edge detection significantly reduces the amount of data and filters out unwanted or insignificant information and gives the significant information in an image. These information are used in image processing to detect objects. There are some problems like false edge detection, problems due to noise, missing of low contrast boundaries etc. This paper presents a comparison between various edge detectors to identify which edge detector performs better results. The software is developed using MATLAB. It has been shown that modified declivity operator gives better result as compared to other edge detectors.