Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a new hybrid model for active contour image segmentation is proposed. The model is a combination of an edge and region based active contour. To make more efficient noisy images segmentation, the proposed method is separated into two stages. The first one is a pre-processing step consisting of a morphological contrast enhancement follod by a de-noising process using an anisotropic diffusion filter. In the second stage, segmentation is performed using a level set based on a hybrid energy minimization. Various experimental results on medical and synthetic images are presented. Segmentation tests show that the proposed method is efficient, accurate, fast and robust.
['Meriem Hacini', 'Fella Hachouf']
I am writing a research paper on a idea MR Image segmentation based on a new hybrid level set evolution
[{"from": "human", "value": "I am writing a research paper on a idea MR Image segmentation based on a new hybrid level set evolution"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a new hybrid model for active contour image segmentation is proposed. The model is a combination of an edge and region based active contour. To make more efficient noisy images segmentation, the proposed method is separated into two stages. The first one is a pre-processing step consisting of a morphological contrast enhancement follod by a de-noising process using an anisotropic diffusion filter. In the second stage, segmentation is performed using a level set based on a hybrid energy minimization. Various experimental results on medical and synthetic images are presented. Segmentation tests show that the proposed method is efficient, accurate, fast and robust."}]