Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a novel automatic quantitative measurement method for assessment of the performance of image registration algorithms designed for registering retina fundus images. To achieve automatic quantitative measurement,  propose the use of edges and edge dissimilarity measure for determining the performance of retina image registration algorithms. Our input is the registered pair of retina fundus images obtained using any of the existing retina image registration algorithms in the literature. To compute edge dissimilarity score,  propose an edge dissimilarity measure that  called “robustified Hausdorff distance”.  show that our proposed approach is feasible as designed by drawing comparison to visual evaluation results when tested on images from the DRIVERA and G9 dataset.
['Ee Ping Ong', 'Jimmy Addison Lee', 'Guozhen Xu', 'Beng Hai Lee', 'Damon Wing Kee Wong']
I am writing a research paper on a idea An automatic quantitative measurement method for performance assessment of retina image registration algorithms
[{"from": "human", "value": "I am writing a research paper on a idea An automatic quantitative measurement method for performance assessment of retina image registration algorithms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a novel automatic quantitative measurement method for assessment of the performance of image registration algorithms designed for registering retina fundus images. To achieve automatic quantitative measurement,  propose the use of edges and edge dissimilarity measure for determining the performance of retina image registration algorithms. Our input is the registered pair of retina fundus images obtained using any of the existing retina image registration algorithms in the literature. To compute edge dissimilarity score,  propose an edge dissimilarity measure that  called \u201crobustified Hausdorff distance\u201d.  show that our proposed approach is feasible as designed by drawing comparison to visual evaluation results when tested on images from the DRIVERA and G9 dataset."}]