Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: t surfaces are ubiquitous in our visual experience. Autonomous machines with vision systems will need to identify t surfaces from dry. t surfaces (especially rough, absorbent ones) appear darker when t.  presents the Lekner and Dorf (1988) model for describing the darkening caused by tting.  explain how to use this optics model to transform intensity values of a region of an image to make that region appear t.  also show how the model can be reversed in order to make a t part of an image appear dry. It is also shown that this technique can be used to identify t regions. This identification is contrasted with darkening caused by shadows. Comparisons of the gray-level histograms of these real images show the validity of this approach for distinguishing t surfaces from dry. >
['Howard B. Mall', 'N. da Vitoria Lobo']
I am writing a research paper on a idea Determining wet surfaces from dry
[{"from": "human", "value": "I am writing a research paper on a idea Determining wet surfaces from dry"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: t surfaces are ubiquitous in our visual experience. Autonomous machines with vision systems will need to identify t surfaces from dry. t surfaces (especially rough, absorbent ones) appear darker when t.  presents the Lekner and Dorf (1988) model for describing the darkening caused by tting.  explain how to use this optics model to transform intensity values of a region of an image to make that region appear t.  also show how the model can be reversed in order to make a t part of an image appear dry. It is also shown that this technique can be used to identify t regions. This identification is contrasted with darkening caused by shadows. Comparisons of the gray-level histograms of these real images show the validity of this approach for distinguishing t surfaces from dry. >"}]