Abstract: In order to assess the cutting quality of stem quickly, an analysis method based on visual morphological feature detection was proposed. Morphological analysis method was used to compute the shred content in cut stems (the proportion of shred in cut stems); the length of cut stem was computed by skeleton extraction method and its uniformity was computed by probability density function, the width of cut stem was computed by Hough transform principle and its uniformity by numerical analysis. The proposed method was verified by accuracy, precision and efficiency experiments. The results showed that the measurement accuracy of shred content in cut stems reached 98.73%, the measurement errors of both cut stem length and width were 0.02, which indicated that the measurement was accurate. The variation coefficients of measured shred content in cut stems, length uniformity and width uniformity were 0.6%, 1.0% and 1.5%, respectively; the measurement had good precision. The average time needed for measuring cut stems of 0.01 kg was 11 s with the image processing time less than 2.5 s, which satisfied the requirements for on-line measurement of cut stems of large quantities.