STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

Analogy between Various Edge Detection Algorithms

  1. Saurabh Allawadhi
  2. Priti Gangania

Abstract

Image segmentation is the technique of detecting edges of the object within the picture that we want to identify. Image recognition is carried out in various steps: Step 1: RGB value of picture is extracted. Step 2: Gray image is acquired either using formulae 0.2989×R+0.5870×G+0.1140×B or the usage of rgb2gray() function. Step 3: Binary image is acquired from gray image. Step 4: Now edge detection is implemented using various algorithms along with Sobel, Canny, Roberts, Prewitt, Laplacian of Gaussian and Zero cross detection. Edge detection is the most vital procedure as it symbolizes how nicely the object could be detected. This research papers gives comparison on existing methods such as Sobel operator, Canny operator, Prewitt operator, Roberts operator, zero crossing method and Laplacian of Gaussian method using MATLAB R2016a.
Support