![](/images/graphics-bg.png)
Detection of foreign materials in wheat kernels using regional colour descriptors
Joint Authors
Source
Journal of Engineering Research
Issue
Vol. 10, Issue 2 A (30 Jun. 2022), pp.195-209, 15 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-06-30
Country of Publication
Kuwait
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Present paper reports on the development of an automated machine vision system for detection of foreign materials in wheat kernels using regional color descriptors.
The said pipeline was executed in the form of an integrated flowing pipeline after having proper choice of different possible alternatives for different stages of image processing.
A new type of surface colour descriptor is also proposed in this work to define wheat kernel uniquely.
The fifteen-element colour descriptor is executed after having thorough comparison of six different colour spaces, each having 72 separate quantifiable components.
The fifteen elements of the proposed colour-descriptor, extracted from each segmented region of the sample image, are concatenated in the form of an input to the neural classifier.
The neural classifier is trained with Levenberg-Marquardt (LM) learning algorithm to achieve an extremely fast convergence.
The recognition rate of the executed classifier is found to be more than 99.2% for detection of impurity in unconnected wheat kernels.
The results of present investigations are quite promising.
The proposed system has potential future in the field of machine vision based quality inspection of wheat and other cereal grains.
American Psychological Association (APA)
Julka, Neeraj& Singh, A. P.. 2022. Detection of foreign materials in wheat kernels using regional colour descriptors. Journal of Engineering Research،Vol. 10, no. 2 A, pp.195-209.
https://search.emarefa.net/detail/BIM-1494626
Modern Language Association (MLA)
Julka, Neeraj& Singh, A. P.. Detection of foreign materials in wheat kernels using regional colour descriptors. Journal of Engineering Research Vol. 10, no. 2 A (Jun. 2022), pp.195-209.
https://search.emarefa.net/detail/BIM-1494626
American Medical Association (AMA)
Julka, Neeraj& Singh, A. P.. Detection of foreign materials in wheat kernels using regional colour descriptors. Journal of Engineering Research. 2022. Vol. 10, no. 2 A, pp.195-209.
https://search.emarefa.net/detail/BIM-1494626
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 207-209
Record ID
BIM-1494626