Application of Additive Regional Kalman Filtering to X-Ray Images in NDE
One of the time consuming procedures in inspecting parts by x-ray film is the identification of a flaw. Low contrast films of dense objects especially cause problems. A radiologist must have considerable experience in identification in order to keep the examination time relatively small, but also keep the reliability high. Our objective in this project is to develop a computer procedure that will sufficiently enhance flaws in an image in a manner that will reduce the time it takes a human to locate and identify a flaw.
KeywordsKalman Filter Quantum Fluctuation Error Covariance Matrix Spatial Activity Dense Object
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