Improving quality inspection of food products by computer vision: a review
By Tadhg Brosnan, Da‐Wen Sun. 2004
1,064 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/fd73589eea6dee07051bf4f9a14ce2a4bb861970
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
- Umezuruike Linus Opara
- P. Pathare
- F. Al-Said
- Da‐Wen Sun
- F. Pedreschi
- K. León
- Domingo Mery
- Jorge León
In Molecular Biology
- Umezuruike Linus Opara
- F. Al-Said
- P. Pathare
- Da‐Wen Sun
- F. Pedreschi
- K. León
- Domingo Mery
- Jorge León
In Plant Science
- Umezuruike Linus Opara
- P. Pathare
- F. Al-Said
- D. Barrett
- J. Beaulieu
- R. Shewfelt
- F. Pedreschi
- K. León
Citations in the corpus
- Colour Measurement and Analysis in Fresh and Processed Foods: A Review (2012, methodology): “Pre-processing improves the quality of the image by removing noise and distortion and also data transformation into more convenient formats, intermediate processing which primarily involves the issue of segmenting the region of interest from the image and high-level processing which involves describ”
- Detection of early bruises in apples using hyperspectral data and thermal imaging (2012, background): “Machine vision, which is an advanced technology to ‘‘see’’ objects with an assistance of computers, has been used in many applications in agriculture, including pre- and postharvest product quality and safety detection, and sorting (Kim et al., 2002; Brosnan and Sun, 2004; Xing et al., 2005; Sun, 20”
- Color measurement in L ¿ a ¿ b ¿ units from RGB digital images (2006, methodology): “…measure the color of different foods since they provide some obvious advantages over a conventional colorimeter, namely, the possibility of analyzing of each pixel of the entire surface of the food, and quantifying surface characteristics and defects (Brosnan & Sun, 2004; Du & Sun, 2004).”
- A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning (2015, background): “As for the dimensional QA, various real-time applications, including solder joint inspection of printed circuit boards and shape/size inspection of food products have been performed [17,12].”