Shape Extraction Methods for Fruits: Technical Review

Kakadiya, Divya; Patel, Munika; Kachariya, Chandres; Shah, Nirali; Shah, Riya; Sukhwani, Krunal

doi:10.5120/19506-1108

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Thus, the irregularity of fruit shape can be used as a quality measure. Graphical data that are extracted using shape features play an important role in automated fruit grading [2][3].…”

Section: Issn: 0067-2904mentioning

confidence: 99%

Shape Feature Extraction Techniques for Fruits: A Review

Hassoon

2021

eijs

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Fruits sorting, recognizing, and classifying are essential post-harvest operations, as they contribute to the quality of food industry, thereby increasing the exported quantity of food. Today, an automated system for fruit classification and recognition is very important, especially when exporting to markets where quality of fruit must be high. In this study, the advantages and disadvantages of the various shape-based feature extraction algorithms and technologies that are used in sorting, classifying, and grading of fruits, as well as fruits quality estimation, are discussed in order to provide a good understanding of the use of shape-based feature extraction techniques.

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“…Thus, the irregularity of fruit shape can be used as a quality measure. Graphical data that are extracted using shape features play an important role in automated fruit grading [2][3].…”

Section: Issn: 0067-2904mentioning

confidence: 99%

Shape Feature Extraction Techniques for Fruits: A Review

Hassoon

2021

eijs

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“…and for physiological tests. Shape in the assessment of fruit and their classification and sorting plays a significant role (Kakadiya et al, 2015;Moreda et al., 2012;Rakun et al, 2012;Iqbal et al, 2011). It is also important for the use of vision systems.…”

Section: Introductionmentioning

confidence: 99%

Geometrical Model of Lemon Fruit

Mieszkalski

2017

Agricultural Engineering

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A proposal of a mathematical method of modelling of the lemon shape with Bézier's curves was presented. Lisbon, Verna, Genoa lemon cultivars were selected for verification of the modelling method. The lemon contour, which is its meridian, was described with three smoothly combined Bézier's curves. Pictures taken in 10 locations changing every 36o were the basis for description of lemon contours. Bézier's curves, which approximate meridians located on the surface of lemons, are their 3D models. The presented method may be applied for mathematical modelling of the lemon shape.

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