Non-destructive low-cost approach for fuzzy classification of tomato images based on firmness prediction using regression

• Published in: Journal of intelligent & fuzzy systems Vol. 32; no. 5; pp. 3641 - 3653
• Main Authors: Sehgal, Priti, Goel, Nidhi
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.05.2017; Sage Publications Ltd
• Subjects: Backscattering; Classification; Color; Correlation coefficients; Digital imaging; Feature extraction; Firmness; Fuzzy sets; Hyperspectral imaging; Image acquisition; Image classification; Mathematical models; Mechanical properties; Nondestructive testing; Prediction models; Regression analysis; Statistical analysis; Texture; Tomatoes; Wavelet transforms; Tomato firmness; RBF regression; fuzzy rule based classification system; Image texture analysis; machinevision

Non-destructive techniques such as hyperspectral imaging, backscattering imaging are the advanced techniques used for predicting mechanical properties of horticulture products. They show relatively good performance but at the expense of costly measuring setups. This application-oriented paper invest...