Result Analysis of LabVIEW and MatLab in Application of Image Edge Detection

Abstract

Edge of an Image is One of the most fundamental and significant futures. Edge detection is always one of the classical studying projects of computer vision and image processing field. It is the first step of image analysis and understanding. The purpose of edge detection is to discover the information about the shapes and the reflectance or transmittance in an image. It is one of the fundamental steps in image processing, image analysis, image pattern recognition, and computer vision, as well as in human vision. The correctness and reliability of its results affect directly the comprehension machine system made for objective world. This paper firstly describes the characteristics of edges, the properties of traditional detectors and the methodology of common edge detection and then analysing the results of MATLAB is commonly used to realize the hybrid programming so as to expand the scientific computing ability of LabVIEW. MATLAB engine must be running in this way and that results in lower perform efficiency and then summarized their recent research progresses and applications. Finally, this paper analyzed their advantages, disadvantages and presents some recommendations for future work General Terms ActiveX Server, Math Script, Morphological Processing, Image Edge detection.