Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose an adaptive thresholding method where each object is thresholded optimizing its shape. The method is based on a component tree representation, which can be computed in quasi-linear time.  test and evaluate the method on images of bacteria from three different livecell analysis experiments and show that the proposed method produces segmentation results comparable to state-of-the-art but at least an order of magnitude faster. The method can be extended to compute any feature measurements that can be calculated in a cumulative way, and holds great potential for applications where a priori information on expected object size and shape is available.
['Petter Ranefall', 'Sajith Kecheril Sadanandan', 'Carolina Wählby']
I am writing a research paper on a idea Fast adaptive local thresholding based on ellipse fit
[{"from": "human", "value": "I am writing a research paper on a idea Fast adaptive local thresholding based on ellipse fit"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose an adaptive thresholding method where each object is thresholded optimizing its shape. The method is based on a component tree representation, which can be computed in quasi-linear time.  test and evaluate the method on images of bacteria from three different livecell analysis experiments and show that the proposed method produces segmentation results comparable to state-of-the-art but at least an order of magnitude faster. The method can be extended to compute any feature measurements that can be calculated in a cumulative way, and holds great potential for applications where a priori information on expected object size and shape is available."}]