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Texture Analysis of Fruits for Its Deteriorated Classification

  • Deepanshi Singla
  • Abhilasha Singh
  • Ritu Gupta
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 18)

Abstract

Due to growing requirement in agriculture industry, the need to effectively grow a plant and increase in yield is very important. In order to attain more value added goods, a quality control is essentially required. Assessment as well as segregation of fruits is generally based on manual observations. This process can be automated using image processing techniques. The ability to identify the quality of fruits is the most significant trait while designing an automatic fruit categorization machine in order to save considerable human effort. This paper proposes a technique which will diagnose whether the fruit is fresh or rotten and classify the decayed fruit on the basis of pre-decided grading criterion. In proposed work, images are classified on the basis of colour, texture and morphology. Proposed framework is modelled into three parts of image processing which includes texture and feature extraction using morphology, image segmentation using threshold and fruit grading. This software can be a great help for fruit business industry as it will automate the fresh fruit selection process and hence increase the speed of selecting quality product.

Keywords

Image processing Morphology Fruit disease detection Fruit grading 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Deepanshi Singla
    • 1
  • Abhilasha Singh
    • 1
  • Ritu Gupta
    • 1
  1. 1.Amity School of Engineering and Technology, Amity UniversityNoidaIndia

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