Study on image segmentation for blood cells based on an adaptive and multi-scale thresholding approach

Based on an adaptive and scale space filter (ASSF), thresholding approach is proposed for automatic segmentation of blood cell images. Apply ASSF to image-histogram, a scale space image is built. According to the properties of the scale space image, a proper scale of filter is obtained. The valleys are gradually located from coarse level to fine level and the location of valleys are applied to the histogram-based segmentation. A relaxation-based postprocessing is employed for the segmented regions. The results show that the proposed algorithm is effective and robust.