The utility model discloses an adherent
white blood cell segmentation method based on
nucleus-marked
watershed transformation. The adherent
white blood cell segmentation method comprises the following steps: firstly inputting original RGB (Red, Green, Blue) images and discovering the generally difficult-to-solve problem of
peripheral white blood cells and
bone marrow white blood cells in the
image processing process; secondly, carrying out HIS (
Hue-Saturation-Intensity) and LUV
color space and
grayscale space conversion on the original images and analyzing the characteristics of each channel component image; thirdly, respectively carrying out threshold value segmentation and
image subtraction on components B and
grayscale images to obtain
white blood cell images containing a part of impurities; fourthly, obtaining a target taking a white
blood cell nuclei as a marker through an
image enhancement technology; fifthly, carrying out morphological operation and
watershed transformation on the white
blood cell nuclei and the white
blood cell images containing the impurities to remove the impurities, obtain accurate white blood
cell images and solve the problem of
cell adhesion; finally,
cutting the targeted white blood cells, converting the targeted white blood cells into an LUV space, clustering the white blood
cell images from the view of space and color and obtaining a white blood
cell nucleus.