Color measurement: comparison of colorimeter vs. computer vision system
The aim of this work was to compare two food color measurement techniques, the traditional tristimulus colorimeter and an image analysis system. In this sense a computer vision system was developed, consisting of a digital camera, a controlled illumination environment, and a software package to proc...
Guardado en:
| Autores principales: | , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/103350 |
| Aporte de: |
| id |
I19-R120-10915-103350 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Química Food color Computer vision Digital images Image processing Color calibration |
| spellingShingle |
Química Food color Computer vision Digital images Image processing Color calibration Goñi, Sandro Mauricio Salvadori, Viviana Olga Color measurement: comparison of colorimeter vs. computer vision system |
| topic_facet |
Química Food color Computer vision Digital images Image processing Color calibration |
| description |
The aim of this work was to compare two food color measurement techniques, the traditional tristimulus colorimeter and an image analysis system. In this sense a computer vision system was developed, consisting of a digital camera, a controlled illumination environment, and a software package to process the images. The conversion between color spaces was performed employing empirical mathematical models; a standard color chart was used for its calibration. The color of 40 samples of raw and processed foods was measured in the CIELAB color space with the computer vision system and a colorimeter.
The equivalence between both techniques, for individual L*, a* and b* values, was determined using appropriate hypothesis tests. For most samples both systems provide equivalent results, although the total color difference ΔΕ was high enough to be noticeable. The average ΔΕ was 5.88 ± 3.32, with an average absolute ΔL* = 2.79 ± 2.42, Δa* = 3.02 ± 2.94; Δb* = 2.84 ± 2.53. In addition, the color measured by the image analyses technique seemed to be more similar to the real ones. |
| format |
Articulo Articulo |
| author |
Goñi, Sandro Mauricio Salvadori, Viviana Olga |
| author_facet |
Goñi, Sandro Mauricio Salvadori, Viviana Olga |
| author_sort |
Goñi, Sandro Mauricio |
| title |
Color measurement: comparison of colorimeter vs. computer vision system |
| title_short |
Color measurement: comparison of colorimeter vs. computer vision system |
| title_full |
Color measurement: comparison of colorimeter vs. computer vision system |
| title_fullStr |
Color measurement: comparison of colorimeter vs. computer vision system |
| title_full_unstemmed |
Color measurement: comparison of colorimeter vs. computer vision system |
| title_sort |
color measurement: comparison of colorimeter vs. computer vision system |
| publishDate |
2017 |
| url |
http://sedici.unlp.edu.ar/handle/10915/103350 |
| work_keys_str_mv |
AT gonisandromauricio colormeasurementcomparisonofcolorimetervscomputervisionsystem AT salvadorivivianaolga colormeasurementcomparisonofcolorimetervscomputervisionsystem |
| bdutipo_str |
Repositorios |
| _version_ |
1764820441816367106 |