International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 165 Study of Various Edge Detection Techniques and Implementation of Real Time Frame’s Edge Detection Arpita Yadav 1 , Soni Kushwaha 2 , Amrita Aman 3 , Rajnish K Ranjan 4 1 Computer Science & Engineering Department, University Institute of Technology RGPV Bhopal, Madhya Pradesh, India 2 Computer Science & Engineering Department, Oriental College of Technology Bhopal, Madhya Pradesh, India 3 Department of Computer Science, Technocrats Institute of Technology, Bhopal, Madhya Pradesh, India 4 Lecturer, Govt. Women’s Polytechnic College Bhopal, Madhya Pradesh, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - This work is done to describe real time video edge detection or image edge detection. In today’s life edge detection becomes an important concern for image processing or for real time video processing. This is important in various fields like in medical field, traffic control systems, in defense applications or in satellite imaging, etc. Edge detection is considered to be one of the most commonly used operation in image processing and video processing. Edge detection is a pre- processing step to raise the standard of the images, and edges in noise- contaminated image. Edge detection technique is used to preserve the edge details of the image by removing unwanted data from the image. In this work, our main motive to identify all possible edges of frames of videos in real time. Apart from this, we have developed an GUI- So user have options to pick any edge detection techniques and will get the edges of an image in real time. For real time images, we have used camera to take input in our implementation. Key Words: Canny; Sobel; Roberts; Prewitt; Laplacian of Gaussian operators; Real time video processing. 1.INTRODUCTION Image processing [1] has become very important and popular area for research. Edge detection is an important part in image processing. It seems everywhere if we want to extract useful information from the image or to discover the characteristics of the image. But images have problems with detecting edges, such as false edge detection, thick or thin edge lines can also arise, missing real edges, problems due to the presence of noise within the image, and so on. So to solve this problem various edge detection techniques are implemented which can perform various operations. For example, if we wish to detect different objects from the images or videos then through image segmentation the objects are separated and we will easily detect objects using edge detection techniques. And the most consequential utilization of edge detection technique is to extract the cognizance regarding the form of the things or object. Edge detection is employed for sundry purposes like to image enhancement, image analysis, texture feature extraction [3, 15], image segmentation, visual perception and so forth. 1.1 Edge An edge might have outlined as a collection of connected pixels that form a boundary between two disjoint regions. Most of the form information of an image is enclosed in edge. 1.2 Edge Detection Edge detection [7, 8] is the basic tool in image processing. especially within the field of feature detection and in feature extraction. Edge detection removes the inessential information from the image while finding structure of the image object and it identifying points in a digital image at which the image brightness changes rapidly. 1.2 Image Processing When we perform an operation on image, then it can be called image processing [4]. Image processing may be a technique that's employed to strengthen an image or extract information from an image. Image processing can be a subset of Computer vision [5]. 2. LITERATURE RIVIEW As, we all know that the edges are the essential features of an image. There are several methods and techniques available to locate the edges of an image. Each technique detects the edges of the image but the standard of output given by these operators are different. So, this paper will explain various types of edge detection techniques and also compare those techniques, which will seek better technique among all. Various edge techniques are given below. 2.1 Robert Edge Detection Operator The Robert Edge Detection Operator [9, 10] is started by Lawrence Robert (1965). Robert's operator is extremely simple and very quick to detect the edge of