This paper addresses applied image segmentation techniques for the detection of dyed objects (transgenic barley cells) in microscope color images. It is shown on exemplary image data that edge detection with Canny’s algorithm applied to the hue channel of the HSV color space outperforms both multidimensional edge detection in RGB space as well as color-based pixel classification. This provides a firm basis for a fully automatic high-throughput analysis tool.