A simple method of rapid and automatic color image segmentation for serialized Visible Human slices

• We propose a rapid segmentation method for the serialized Visible Human slices.
• We improve a color similarity computing method for classifying different pixels.
• We propose an algorithm based on corrosion to extract the seed points.
• Multithreading frame of parallel computing is introduced in the segmentation.
• The primary organs of the Visible Human can be segmented clearly and accurately.

In this paper, a rapid and automatic color image segmentation method for the serialized slices of the Visible Human is proposed. The main strategy is based on region growing and pixel color difference. A rapid color similarity computing method is improved and applied for classifying different pixels. An algorithm based on corrosion from four directions is proposed to automatically extract the seed points for the serialized slices. Utilizing this method, the color slice images of the Visible Human body can be segmented in series automatically. Also, the multithreading frame of parallel computing is introduced in the entire segmentation process. This method is simple but rapid and automatic. The primary organs of the Visible Human can be segmented clearly and accurately. The 3D models of these organs after 3D reconstruction are satisfactory. This novel method can provide support to the Visible Human research.

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