Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a saliency guided image object segment method.  suppose that saliency maps can indicate informative regions, and filter out background in images. To produce perceptual satisfactory salient ob- jects,  use our bio-inspired saliency measure which integrating three factors: dissimilarity, spatial distance and central bias to compute saliency map. Then the saliency map is used as the importance map in the salient object segment method. Experimental results demonstrate that our method outperforms previ- ous saliency detection method, yielding higher precision (0.7669) and better re- call rates (0.825), F-Measure (0.7545), when evaluated using one of the largest publicly available data sets.
['Lijuan Duan', 'Jili Gu', 'Zhen Yang', 'Jun Miao', 'Wei Ma', 'Chunpeng Wu']
I am writing a research paper on a idea Bio-inspired visual attention model and saliency guided object segmentation
[{"from": "human", "value": "I am writing a research paper on a idea Bio-inspired visual attention model and saliency guided object segmentation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a saliency guided image object segment method.  suppose that saliency maps can indicate informative regions, and filter out background in images. To produce perceptual satisfactory salient ob- jects,  use our bio-inspired saliency measure which integrating three factors: dissimilarity, spatial distance and central bias to compute saliency map. Then the saliency map is used as the importance map in the salient object segment method. Experimental results demonstrate that our method outperforms previ- ous saliency detection method, yielding higher precision (0.7669) and better re- call rates (0.825), F-Measure (0.7545), when evaluated using one of the largest publicly available data sets."}]