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An Algorithm for Pre-processing of Areca Nut for Quality Classification

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Second International Conference on Image Processing and Capsule Networks (ICIPCN 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 300))

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Abstract

Areca nut is an important crop in the coastal belt of India and has a high commercial value. The segregation of Areca nut into various categories depending upon the quality is a long-drawn process involving large number of manual labours, thus resulting into enormous delay in payment to the farmer. The scarcity of skilled labour makes the process of segregation even more difficult. In this paper, the proposed technique gives an algorithm for pre-processing of Areca nut for its quality classification. Firstly, the image acquisition is done using a Raspberry Pi 3 B+ board and a 5 Mega pixel Pi camera module. The pre-processing of the captured image involves enhancement of the image quality by way of using image filtering, contrast enhancement and image segmentation. For cropping the exact nut image, the nut boundary is detected using Canny edge detection and K-means segmentation algorithm. In this paper, we explore eight different techniques of image pre-processing and it has been observed that Contrast-Limited Adaptive Histogram Equalization, Anisotropic Diffusion Edge Preserving Filter and K-Means segmentation gives best results for applications involving Areca nut segregation.

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Acknowledgement

Authors acknowledge the help extended by the skilled segregators of Goa Bagayatdar, and also for providing a large number of samples of Areca nut used for this work.

The First author would like to thank the Principal of Dnynprasarak Mandal’s College and Research Centre, Assagao, Goa, India, for encouraging him to pursue his Ph.D. at the Goa University.

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Authors and Affiliations

  1. Electronics Programme, Goa University, Taleigao, Goa, India

    Sameer Patil, Aparajita Naik, Marlon Sequeira, Gourish Naik & Jivan Parab

Authors
  1. Sameer Patil
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  2. Aparajita Naik
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  3. Marlon Sequeira
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  4. Gourish Naik
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  5. Jivan Parab
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Corresponding author

Correspondence to Aparajita Naik .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Da-Yeh University, Changhua, Taiwan

    Joy Iong-Zong Chen

  2. Departamento de Engenharia Mecanica, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  3. College of Engineering, Prince Sattan Bin Abdulaziz University, Al-Kharj, Saudi Arabia

    Abdullah M. Iliyasu

  4. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

    Ke-Lin Du

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Patil, S., Naik, A., Sequeira, M., Naik, G., Parab, J. (2022). An Algorithm for Pre-processing of Areca Nut for Quality Classification. In: Chen, J.IZ., Tavares, J.M.R.S., Iliyasu, A.M., Du, KL. (eds) Second International Conference on Image Processing and Capsule Networks. ICIPCN 2021. Lecture Notes in Networks and Systems, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-030-84760-9_8

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