Method for the Recovery of Images in Databases of Rice Grains from Visual Content

This paper presents a method for detecting and identifying defects in polished rice grains from their scanned image using an expert system. The sample used is designed to contain specimens with the most common defects. Digital image processing techniques were used to identify different types of visi...

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Bibliographic Details
Published inProcedia computer science Vol. 170; pp. 983 - 988
Main Authors Varela, Noel, Silva, Jesus, Gonzalez, Fredy Marin, Palencia, Pablo, Palma, Hugo Hernandez, Pineda, Omar Bonerge
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2020
Subjects
Arroz
calidad
escáner
Imágenes
Sistemas de Visión Artificial (SVA)
escáner
Imágenes
Arroz
Sistemas de Visión Artificial (SVA)
calidad
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Summary:This paper presents a method for detecting and identifying defects in polished rice grains from their scanned image using an expert system. The sample used is designed to contain specimens with the most common defects. Digital image processing techniques were used to identify different types of visible defects in rice grains that affect the quality of the sample. The proposed method has advantages over manual identification such as reduced analysis times, repeatability of results, eliminates subjectivity in identification, records and stores information, uses easily accessible equipment and has a relatively low cost.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2020.03.097