Go to OpenReview Archive homepage CONTENT-AWARE NEURON IMAGE ENHANCEMENT
Abstract: Neuron microscopy enables advances in the exploration of neural anatomy and function, and neuron image enhancement is typically necessary before higher-level analyses. Most ex- isting neuron image enhancement methods exploit the unique tubular structure of neurons. However, such methods do not preserve neuron details. In this paper, we propose a content- aware neuron image enhancement (CaNE) method that com- bines the neuron image properties of gradient sparsity and tubular structure. Experiments show that neuron images en- hanced by CaNE possess 20% more details in terms of cor- relation as compared to existing methods. With high-quality neuron images provided by CaNE, neuron analyses, such as segmentation and skeleton detection, are enabled at higher rates of success as described in this paper.
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