Measurement of meat color using a computer vision system

Area of Science:

• Food Science
• Colorimetry
• Image Analysis

Background:

• Accurate meat color assessment is crucial for quality control.
• Traditional colorimeters have limitations in capturing true meat color.
• Computer vision systems (CVS) offer a potential alternative for objective color measurement.

Purpose of the Study:

• To investigate the accuracy of a colorimeter versus a computer vision system (CVS) in evaluating the color of beef, pork, and chicken.
• To assess the chromatic fidelity of digital meat images compared to actual samples.
• To determine which method, colorimeter or CVS, better represents the true color of meat.

Main Methods:

• Utilized a Minolta CR-400 colorimeter and a computer vision system (CVS) for colorimetric measurements.
• Conducted similarity tests with a trained panel to compare digital images with actual meat samples.
• Evaluated color differences between colorimeter- and CVS-generated colors using Adobe Photoshop CS3 and expert assessment.

Main Results:

• Panelists confirmed high similarity between digital meat images and actual samples (P<0.001).
• Significant differences were found between colors generated by the CVS and the colorimeter (P<0.001).
• The CVS-generated color was found to be more similar to the actual meat color than the colorimeter-generated color.

Conclusions:

• Colorimeters may not provide accurate color coordinates for meat.
• The computer vision system (CVS) demonstrates potential for valid and accurate meat color measurement.
• CVS offers a superior method for reproducing true meat color compared to traditional colorimeters.