TY - GEN
T1 - An Algorithm to Obtain the Stained Area Ratio Based on Digital Image Processing Techniques for Organic Straw Classification
AU - Vargas, Carlos
AU - Guillermo, Bill
AU - Vinces, Leonardo
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The present work proposes the development of an algorithm to obtain the relationship of stained areas based on digital image processing techniques for the classification of organic straws. The area ratio in the straw is a parameter that indicates how stained the organic straw is. This parameter is calculated from the information of the image taken, considering how many pixels are part of the straw and how many pixels are part of the unstained part of it. The sorting of straws is usually done by visual perception of the operator. However, this method is very ineffective and time-consuming, and it should be noted that operators have three-hour breaks due to eyestrain. This affects the speed of the sherbet sorting process and therefore the entire manufacturing process. The proposed algorithm aims to reduce the subjectivity of the analysis and improve its speed. The algorithm is composed of processing steps that involve image conditioning using Sobel gradient filter, sharpening filter, morphology, angle correction, histogram skew analysis, decontamination by the Multi-Diagonal Lambda Noise Filter, detection of the straw and not stained areas of the straw, and finally, obtaining the area ratio. Finally, the proposed algorithm obtained a precision of 70%.
AB - The present work proposes the development of an algorithm to obtain the relationship of stained areas based on digital image processing techniques for the classification of organic straws. The area ratio in the straw is a parameter that indicates how stained the organic straw is. This parameter is calculated from the information of the image taken, considering how many pixels are part of the straw and how many pixels are part of the unstained part of it. The sorting of straws is usually done by visual perception of the operator. However, this method is very ineffective and time-consuming, and it should be noted that operators have three-hour breaks due to eyestrain. This affects the speed of the sherbet sorting process and therefore the entire manufacturing process. The proposed algorithm aims to reduce the subjectivity of the analysis and improve its speed. The algorithm is composed of processing steps that involve image conditioning using Sobel gradient filter, sharpening filter, morphology, angle correction, histogram skew analysis, decontamination by the Multi-Diagonal Lambda Noise Filter, detection of the straw and not stained areas of the straw, and finally, obtaining the area ratio. Finally, the proposed algorithm obtained a precision of 70%.
KW - Angle correction
KW - Digital image processing
KW - Histogram skewness
KW - Lambda multi-diagonal noise filter
KW - Morphology
KW - Sobel gradient filter
KW - Stained area ratio
UR - https://www.scopus.com/pages/publications/85135015785
U2 - 10.1007/978-3-031-08545-1_48
DO - 10.1007/978-3-031-08545-1_48
M3 - Contribución a la conferencia
AN - SCOPUS:85135015785
SN - 9783031085444
T3 - Smart Innovation, Systems and Technologies
SP - 497
EP - 505
BT - Proceedings of the 7th Brazilian Technology Symposium, BTSym 2021 - Emerging Trends in Systems Engineering Mathematics and Physical Sciences
A2 - Iano, Yuzo
A2 - Saotome, Osamu
A2 - Kemper Vásquez, Guillermo Leopoldo
A2 - Cotrim Pezzuto, Claudia
A2 - Arthur, Rangel
A2 - Gomes de Oliveira, Gabriel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th Brazilian Technology Symposium, BTSym 2021
Y2 - 8 November 2021 through 10 November 2021
ER -