  A novel model for image segmentation is proposed, which is inspired by the
carrier immigration mechanism in physical P-N junction. The carrier diffusing
and drifting are simulated in the proposed model, which imitates the physical
self-balancing mechanism in P-N junction. The effect of virtual carrier
immigration in digital images is analyzed and studied by experiments on test
images and real world images. The sign distribution of net carrier at the
model's balance state is exploited for region segmentation. The experimental
results for both test images and real-world images demonstrate self-adaptive
and meaningful gathering of pixels to suitable regions, which prove the
effectiveness of the proposed method for image region segmentation.
