Colour vision system evaluation of bicolour fruit: A case study with ‘B74’ mango

• Published in: Postharvest biology and technology Vol. 49; no. 1; pp. 77 - 85
• Main Authors: Kang, S.P., East, A.R., Trujillo, F.J.
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier B.V 01.07.2008; Amsterdam; New York: Elsevier; Elsevier Science
• Subjects: accuracy; automatic detection; Biological and medical sciences; calibration; color; Colour variability; Colour vision system; Food industries; Fruit and vegetable industries; fruit quality; fruits (food); Fundamental and applied biological sciences. Psychology; Hue angle; mangoes; new methods; ripening; shape; spatial variation; Hue angle; Colour variability; Colour vision system; Case study; System evaluation; Fruit; Variability; Color; Mango
• ISSN: 0925-5214; 1873-2356
• DOI: 10.1016/j.postharvbio.2007.12.011

Colour is an important quality attribute that dictates the quality and value of many fruit products. Accurately measuring and describing heterogenous fruit colour changes during ripening is difficult with the instrumentation available (chromometer and colorimeter) due to the small viewing area of the equipment. Calibrated computer vision systems (CVS) provide another technique that allows capture and quantitative description of whole fruit colour characteristics. Published research has demonstrated errors in CVS due to product curvature. In this work, it was confirmed that of the measured a* and b* colour values on a curved surface, 55% and 69% of the values were within the range measured for the same flat surface. This deviation of measurement results in description of hue angle and chroma with an average error of 2° and 2.5, respectively. The system developed allows capture of hue angle data of whole fruit of heterogeneous colour. The usefulness of the device for capturing descriptive colour data during maturation of fruit is demonstrated with ‘B74’ mangoes.