It may be inferred that there exists possibility of the CVS
employment in detection of PSE and DFD m. longissimus lumborum
as well as their classification into the quality groups. The accuracy
of raw material classification was 80.0% for the RGB model and
80.9% for the HSV model and 81.7% for the HSL model. This was
similar to the classification accuracy based on the color coordinates
in the CIEL*a*b* scale and reached 82.6%. Consequently, the CVS
method can be used for a rapid quality evaluation of porcine m.
longissiumus lumborum. One advantage of the CVS method is the
fact that it gives the possibility to analyze the color of the whole
meat surface in a non-invasive and on-line way while the area
measured by means of a colorimeter or a spectrophotometer covers
only the area of measurement head. In addition, this is a contact
method and has to be used periodically. The implementation of the
CVS into the industrial practice will allow evaluating the culinary
and processing quality of the meat with a great accuracy and in this
way will show an appropriate direction of its employment. The
right selection of raw material and its optimal utilization will, in
consequence, ensure the quality standardization and high consumer
acceptability for the products. Thus, both producers and
consumers will benefit. This is especially important now when
meat processing plants are competing for markets.