In this research, a pure quartz sample was subjected to sieve analysis and nine narrow size fractions were obtained. Polished sections were prepared from the representative samples of each fraction and were examined by image analysis (IA) to determine particle size distributions (PSDs) of fractions. Both size and shape measurements were made on individual quartz particles. Mean Feret diameter (dF) and three shape factors measurements, namely chunkiness (Ch), roundness (R) and form factor (FF), were carried out. This study showed that majority of particles in sieved fractions lied outside the nominal openings of the sieves. PSDs in all narrow sieve fractions were found to obey the log-normal distribution function. If number-based distribution of a system is found to be log-normal, the distribution of the derived diameters is also log-normal with the same geometric standard deviation. The number-based means obtained by IA were transformed to the volume (mass)-based means by using this property. The means of number- and volume (mass)-based IA sizes before and after correction by shape factors were compared with their corresponding geometric sieve means. Among the shape factors, FF was found as the most relating factor of sieve and IA sizes. The average of mean FF values of all size fractions was equal to 0.78. Reciprocal of this value (1.29) was very close to the slope of 1.28 obtained from the volume (mass)-based means of IA versus geometric sieve means relation. This result suggests that the slopes of the lines can provide a measure of differences between sieving and IA and this was related to FF values for quartz when d_F was used as IA size.