Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A new thresholding criterion is formulated for segmenting small objects by exploring the knowledge about intensity contrast. It is the ighted sum of within-class variance and intensity contrast beten the object and background. Theoretical bounds of the ight are given for the uniformly distributed background and object, follod by the procedure to estimate the ight from prior knowledge. Tests against two real and two synthetic images show that small objects can be extracted successfully irrespective of the complexity of background and difference in class sizes.
['Yu Qiao', 'Qingmao Hu', 'Guoyu Qian', 'Suhuai Luo', 'Wieslaw L. Nowinski']
I am writing a research paper on a idea Thresholding based on variance and intensity contrast
[{"from": "human", "value": "I am writing a research paper on a idea Thresholding based on variance and intensity contrast"}, {"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 thresholding criterion is formulated for segmenting small objects by exploring the knowledge about intensity contrast. It is the ighted sum of within-class variance and intensity contrast beten the object and background. Theoretical bounds of the ight are given for the uniformly distributed background and object, follod by the procedure to estimate the ight from prior knowledge. Tests against two real and two synthetic images show that small objects can be extracted successfully irrespective of the complexity of background and difference in class sizes."}]