Open-access Color determination in tomato epicarp using Computer Vision System during ripening

The evolution of color in tomatoes samples, during ripening under refrigeration or at room temperature, was studied by Computer Vision System (CVS). CVS consisted in a lighted stage, a CCD digital camera and a computer (Laptop), all calibrated. The digital processing of images was performed with the Adobe<span name="style_sup">®</span> Photoshop<span name="style_sup">®</span>  CS3 Extended software, with which averaged images on L*, a* and b* coordinates were obtained. The proceeding tested, using CVS, allowed to study the variations of color during  the  ripening  of  tomatoes  from  images, by  means  of  rectangular  coordinates  (L*,  a*, b*). The ratio a*/b* and polar coordinates (c*, hº), showing statistically significant differences between samples determined (p&lt;0,05).  CS3 Extended software, with which averaged images on L*, a* and b* coordinates were obtained. The proceeding tested, using CVS, allowed to study the variations of color during  the  ripening  of  tomatoes  from  images, by  means  of  rectangular  coordinates  (L*,  a*, b*). The ratio a*/b* and polar coordinates (c*, hº), showing statistically significant differences between samples determined (p<0,05).

Color spaces; image processing techniques; <span name="style_italic">Lycopersicum esculentum </span>Mill.Mill.; measurement of color in tomatoes; Photoshop<span name="style_sup">®</span>


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None Universidad de Costa Rica. Campus Universitario Rodrígo Facio. Ciudad de la Investigación Finca 2, San José, San José, CR, 11501, 25112080 - E-mail: manuel.camachoumana@ucr.ac.cr
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