Open AccessFruit Quality Analysis using Image Processing
Author(s) -
K B Mirra,
P Pooja,
S Ranchani,
Rani Kumari
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e9309.069520
Subject(s) - preprocessor , image processing , artificial intelligence , computer science , segmentation , feature extraction , pattern recognition (psychology) , texture (cosmology) , computer vision , feature (linguistics) , image (mathematics) , philosophy , linguistics
Fruit Analysis using image processing is a technique used for finding the detection of fruits by a specific algorithm. This project is also used in finding the defected fruit in a group of fruits by the image processing technique. The objective of this work is to prevent health hazards by eating that defected fruit. This processing technique undergoes several stages for the classification and prediction of the defective fruit. This paper presents a detailed overview of various methods i.e., preprocessing, segmentation, feature extraction, a designation that addressed fruits and vegetable quality based on color, texture, size, shape, and defects. In this paper, a critical comparison of a different algorithm proposed by researchers for quality inspection of fruits has been carried out.