Abstract: A method for segmenting stained leukocytes in blood smears includes the following steps: the pixels of the digital images taken of the blood smears are allocated to one of at least three pixel classes according to their chromaticity values; the chromaticity values of all pixels of the image are subjected to the same transformation with which the pixels allocated to the class of the image background appear at least almost white; a transformation of the stained image obtained takes place into an alternative color space, which represents the hue, color saturation and color intensity separately, and hue, color saturation and color intensity of all pixels are ascertained; a probability value is calculated for each pixel for its association to a leukocyte, the probability value corresponding to the product of the probability value for the hue of the leukocyte nucleus with at least one further probability value; then these probability values are defined with reference to previously ascertained and defined associatio

Abstract: A method for segmentation of locally-defined regions is provided. The input data obtained for the image region under investigation is separated into a foreground mask and a background mask, two different filter operations are applied to the input data to determine segmentation starting points, the resulting data sets are subtracted and the image regions viewed as segmentation starting points, a filter operation is applied to generate a less restrictive mask for the input data, the resulting data subjected to a threshold value reduction, the less restrictive mask subjected to a labeling with regard to determination of the local values for generation of a restrictive mask, the mean values determined, segmentation starting points not obtained in the less restrictive mask are removed, a growth into all regions of the restrictive mask is carried out and the regions obtained in the restrictive mask are viewed as the segmented brightness regions.

Abstract: A method for segmenting stained leukocytes in blood smears includes the following steps: the pixels of the digital images taken of the blood smears are allocated to one of at least three pixel classes according to their chromaticity values; the chromaticity values of all pixels of the image are subjected to the same transformation with which the pixels allocated to the class of the image background appear at least almost white; a transformation of the stained image obtained takes place into an alternative color space, which represents the hue, color saturation and color intensity separately, and hue, color saturation and color intensity of all pixels are ascertained; a probability value is calculated for each pixel for its association to a leukocyte, the probability value corresponding to the product of the probability value for the hue of the leukocyte nucleus with at least one further probability value; then these probability values are defined with reference to previously ascertained and defined associatio

Abstract: The invention relates to a method for segmentation of locally-defined regions. The input data obtained for the image region under investigation is separated into a foreground mask and a background mask by application of a threshold value, two different filter operations are applied to the input data to determine segmentation starting points, the resulting data sets are subtracted and the image regions viewed as segmentation starting points, a filter operation is applied to generate a less restrictive mask for the input data, the resulting data subjected to a threshold value reduction, the less restrictive mask subjected to a labeling with regard to determination of the local values for generation of a restrictive mask, the mean values determined, segmentation starting points not obtained in the less restrictive mask are removed, a growth into all regions of the restrictive mask is carried out and the regions obtained in the restrictive mask are viewed as the segmented brightness regions.