Analytical Comparison And Selection Methods For DeformationAnalysis By Edge Detection Using Image Processing

摘要

Edge detection is one of the most commonly used technique in the field of image processing. They characterize boundary information and filters out unnecessary data therefore preserving important structural properties of image. This paper mainly compares various edge detections applied in strain analysis of soft aluminum. Various edge detection techniques include Prewitt, Sobel, Canny, LoG-(Laplacian of Gaussian)and zero cross detectors . Image analysis is performed by using Matlab 2012(a). The experimental results shows that the Sobel and Robert's operators shown better results when compared to C anny operator for deformation analysis. A standard 4000 x 2248 resolution image is taken from a 5Megapixel camera for image analysis Deformation analysis for aluminum specimen is performed in universal testing machine(UTM).