Development of the techniques to improve the appearance of fabrics has long been important for the researchers in textile and its related industries. Thus, techniques are usually done in subjective and objective methods. The subjective methods are conducted by visual assessment, which is observer-dependent and usually does not have an acceptable repeatability. The objective methods are often difficult to calculate, however, due to the important benefits of them, many researches have been conducted using these methods, such as analysis of spectral data, the application of digital devices, and image processing techniques. One of the important appearance properties of fabrics is color levelness. In the present research, the objective method of color levelness assessment are used and compared with the visual assessment of the color levelness of fabric. To do this, 60 panels, which have been prepared in a previous research by Ms.Doustkami are used. It is claimed that these panels cover reasonable proportion of color space. These panels then judged by 30 observers, 15 males 15 females, in order to assess the color levelness of them. Using a 5 steps Likert scale and a categorical judgment technique, the visual data were converted to an interval scale data. Also, the reflectance of the panels was measured in 8 different random locations of them with two different, small and large, spectrophotometer measuring apertures. After converting the spectral data into L*a*b* under D65 illuminant and 10 degree standard observer, the average DE2000 and CMC(2:1) color difference between the L*a*b* of the 8 locations of each of the panels and the average L*a*b* of all the locations were calculated and considered as a measure of color levelness of the panels. This measure then is compared with some important measured used in previous researches. Finally, the image of the panels obtained using a calibrated and characterized scanner and the RGB of each pixels of the images of the panels transformed to L*a*b* data. Then, the images were divided into 50 identical sections and the average color difference between the color of each of the sections and the average color of all the sections of each panel was calculated and was used as a color levelness criterion. This criterion’s performance then compared with the spectrophotometric criterion mentioned previously. It was concluded that using colorimetric data (L*a*b*) and color difference criterion gives similar results to using spectral data. It was also shown that using the small spectrophotometer measuring aperture leads to the better results in comparison to the large one. Moreover, digital device due to overcoming some important drawbacks of the spectrophotometers or colorimeters shows a considerable improvement over the conventional devices, though, there are still some questions needs to be answered. Key words: visual assessment, color difference formulas, spectrophotometric method, digital method.