Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Pulse-coupled neuron networks (PCNN) can be efficiently applied to image segmentation. Hover, the performance of segmentation depends on the suitable PCNN parameters, which are obtained by manual experiment, and the effect of the segmentation needs to be improved for images with noise. , dynamic mechanism based PCNN(DMPCNN) is brought forward to simulate the integrate-and-fire mechanism, and it is applied to segment images with noise effectively. Parameter selection is based on dynamic mechanism. Experimental results for image segmentation show its validity and robustness.
['Yuanhua Qiao', 'Jun Miao', 'Lijuan Duan', 'Yunfeng Lu']
I am writing a research paper on a idea Image segmentation using dynamic mechanism based PCNN model
[{"from": "human", "value": "I am writing a research paper on a idea Image segmentation using dynamic mechanism based PCNN model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Pulse-coupled neuron networks (PCNN) can be efficiently applied to image segmentation. Hover, the performance of segmentation depends on the suitable PCNN parameters, which are obtained by manual experiment, and the effect of the segmentation needs to be improved for images with noise. , dynamic mechanism based PCNN(DMPCNN) is brought forward to simulate the integrate-and-fire mechanism, and it is applied to segment images with noise effectively. Parameter selection is based on dynamic mechanism. Experimental results for image segmentation show its validity and robustness."}]