Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a confidence measure that estimates the assurance that a graph arc (or edge) corresponds to an object boundary in an image. A ighted, planar graph is imposed onto the watershed lines of a gradient magnitude image and the confidence measure is a function of the cost of fixed-length paths emanating from and extending to each end of a graph arc. The confidence measure is applied to automate the detection of object boundaries and thereby reduces (often greatly) the time and effort required for object boundary definition within a user guided image segmentation environment.
['Eric N. Mortensen', 'William A. Barrett']
I am writing a research paper on a idea A confidence measure for boundary detection and object selection
[{"from": "human", "value": "I am writing a research paper on a idea A confidence measure for boundary detection and object selection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a confidence measure that estimates the assurance that a graph arc (or edge) corresponds to an object boundary in an image. A ighted, planar graph is imposed onto the watershed lines of a gradient magnitude image and the confidence measure is a function of the cost of fixed-length paths emanating from and extending to each end of a graph arc. The confidence measure is applied to automate the detection of object boundaries and thereby reduces (often greatly) the time and effort required for object boundary definition within a user guided image segmentation environment."}]