Fruit Quality Analysis using Image Processing
K B Mirra1, P Pooja2, S Ranchani3, R Rajakumari4
1K.B Mirra*, Computer Science and Engineering, National engineering college, Kovilpatti, India.
2P. Pooja, Computer Science and Engineering, National engineering college, Kovilpatti, India.
3S.Ranchani, Computer Science and Engineering, National engineering college, Kovilpatti, India.
4R Rajakumari, Computer Science and Engineering, National engineering college, Kovilpatti, India.
Manuscript received on May 03, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 88-91 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9309069520/2020©BEIESP | DOI: 10.35940/ijeat.E9309.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Fruit grading, Image processing, classification, Quality analysis.