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

Journal of Image Processing & Pattern Recognition Progress

Faulty Object Detection by Image Processing Based on Modified Back-Propagation Algorithm of Artificial Neural Network

  1. Samadhan Jogdand
  2. Dr. U.L. Bombale

Abstract

The conventional algorithms such as canny edge detection require so much computation which makes it more time consuming. Hence it is not used for industrial applications such as damage detection because each product should be analyzed in a fraction of seconds so that the manufacturing rate of the industry should not be affected. Hence Artificial Neural Network can be used for edge detection. Though it requires a lot of time for training, it is very fast at simulation, i.e., at function time which fulfills industry requirement for such application.Cite this ArticleSamadhan Jogdand, U.L. Bombale. Faulty Object Detection by Image Processing Based on Modified Back-propagation Algorithm of Artificial Neural Network. Journal of Image Processing & Pattern Recognition Progress. 2016; 3(2): 19–25p.

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