Open AccessShape Feature Extraction Techniques for Fruits: A Review
Author(s) -
Israa Mohammed Hassoon
Publication year - 2021
Publication title -
iraqi journal of science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.152
H-Index - 4
eISSN - 2312-1637
pISSN - 0067-2904
DOI - 10.24996/ijs.2021.62.7.31
Subject(s) - sorting , feature extraction , computer science , grading (engineering) , artificial intelligence , pattern recognition (psychology) , quality (philosophy) , engineering , algorithm , philosophy , civil engineering , epistemology
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.