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Segmentation and statistical analysis of images with intracellular fluorescent dye concentrations of living cells

In this paper a comparison of suitability for different segmentation schemes applied to test images of different complexity with intracellular fluorescent dye concentrations of living cells is presented. The analysis of experimental results is done for the segmented images using color segmentation method, adaptive intensity histogram segmentation method and edge threshold segmentation method. The statistical analysis of the data obtained from images using different segmentation methods is also discussed. Two different segmentations methods can be applied to the same image before the statistical analysis is carried out. Our system implemented in Visual C++ allows analysis of statistic information for part of an image, for the whole image and for the group of images. All the operations have multi-step undo and redo functions and are performed fast even for complicated images.