Edge detection is the process of finding information of meaningful transition in an image. The purpose of edge detection is to identify basic properties of image like area and shape. The edge detection operators such as canny, sobel, prewitt operators detects the wide range of edges in image. Edge detection is needed to discover the information about the edge and hiding the background data of the video such as the discontinuities in surface orientation and in depth, changes in material properties and variations in scene illuminations. Edge detection is an important basis and significance tasks of image analysis such as boundary detection, image segmentation, motion detection/estimation, texture analysis, object identification, object recognition and stereo matching. Structural Similarity Index (SSIM) is used as a standard among image quality metrics. In this research work, presents the implementation of edge detection of real time video using various edge detection operators (Sobel, Prewitt, Robert, Canny and Mathematical Morphology) with LabView Software, and compares the results with various parameters. The comparisons of experimental results demonstrate the effectiveness of the purposed method.