Study and comparison of various image edge detection techniques used in quality inspection and evaluation of agricultural and food products by computer vision

Authors

  • Narendra V G Manipal Institute of Technology
  • Hareesh K S Reader Dept. Of CSE, Manipal InstituteOf Technology

Keywords:

edge detection, noise, computer vision, agricultural and food products

Abstract

Abstract: Edges characterize boundaries and are therefore a problem of fundamental importance in quality assessment of agricultural and food products.  Since edge detection is in the forefront of computer vision system for detection of vegetables, fruits and food grains needs to quality inspection and evaluation, it is crucial to have a good understanding of edge detection algorithms.  In this paper the comparative analysis of various image edge detection techniques is presented.  The software is developed using MATLAB 7.6.  It has been shown that the Canny’s edge detection algorithm performs better than all operators (i.e. LoG, Robert, Prewitt and Sobel ) under almost all scenarios.

 

Keywords: edge detection, noise, computer vision, agricultural and food products

 

DOI: 10.3965/j.issn.1934-6344.2011.02.083-090

 

Citation: Narendra V G, Hareesh K S.  Study and comparison of various image edge detection techniques used in quality inspection and evaluation of agricultural and food products by computer vision.  Int J Agric & Biol Eng, 2011; 4(2): 83

Author Biographies

Narendra V G, Manipal Institute of Technology

Sr. Lecturer Dept. Of CSE, Manipal Institute Of Technology, Manipal, Karnataka, India-576104

Computer Science and Engg

narendra.vg@manipal.edu; hareesh. ks@manipal. edu.

Hareesh K S, Reader Dept. Of CSE, Manipal InstituteOf Technology

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Published

2011-06-24

How to Cite

G, N. V., & S, H. K. (2011). Study and comparison of various image edge detection techniques used in quality inspection and evaluation of agricultural and food products by computer vision. International Journal of Agricultural and Biological Engineering, 4(2), 83–90. Retrieved from https://www.ijabe.migration.pkpps06.publicknowledgeproject.org/index.php/ijabe/article/view/277

Issue

Vol. 4 No. 2 (2011): IJABE

Section

Applied Science, Engineering and Technology

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