Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  a new image thresholding technique is proposed based on expanding the histogram of the image to accommodate spatial-related information in the form of a variance map of every gray level present in the image. The expanded histogram along with the variance levels are fed into a thresholding finding algorithm based on partitioning the interval (histogram) in an optimal way using dynamic programming with an entropy-based cost function. Compared with many existing methods, simulations on a range of images show good results. The effectiveness of the algorithm is shown even in the presence of low to moderate additive Gaussian noise levels.
['Mahmoud K. Quweider']
I am writing a research paper on a idea An expanded histogram approach for multilevel image thresholding
[{"from": "human", "value": "I am writing a research paper on a idea An expanded histogram approach for multilevel image thresholding"}, {"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 image thresholding technique is proposed based on expanding the histogram of the image to accommodate spatial-related information in the form of a variance map of every gray level present in the image. The expanded histogram along with the variance levels are fed into a thresholding finding algorithm based on partitioning the interval (histogram) in an optimal way using dynamic programming with an entropy-based cost function. Compared with many existing methods, simulations on a range of images show good results. The effectiveness of the algorithm is shown even in the presence of low to moderate additive Gaussian noise levels."}]