Analysis of Guava Quality by Image Processing
Author(s) -
Matheus Pedroza,
A. Glêndara,
Warley Gramacho
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016912404
Subject(s) - computer science , quality (philosophy) , information retrieval , data science , artificial intelligence , computer vision , epistemology , philosophy
Brazil is an important fruit producer in the world. Despite the enormous production, fruit classification techniques do not follow the requirements of consumer protection institutions regarding food quality, since visual and manual classification techniques are still widely used. In this way, the development of machinery and grading systems has been increasingly exploited in order to meet the market's demands. The objective of the present study is to develop a system capable of identifying defects on the guava surface to determine its degree of quality. General Terms Computational vision, image processing and segmentation
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