Publications (3)0.16 Total impact
Conference Paper: Three-dimensional image construction for non-destructive testing[Show abstract] [Hide abstract]
ABSTRACT: We propose a fuzzy inference based method to visualize the 3D structure of a tube buried in a concrete. The nondestructive testing (NDT) with pulse-radar, which makes it possible to non-destructively unmask the tubes in a concrete, is one of the most remarkable techniques of NDT. However, only expert can interpret the scanned data. In our work, we represent such expert's knowledge with fuzzy if-then rules. First, the method estimates the candidate points of a tube on the scanned data. Next, 3D links of the candidate points are constructed by inferring the continuousness of the tube. Thus, this method can extract the internal structure of the concrete. Our experimental result expressed the 3D structure of tubes with high accuracy compared with the radiograph resultPattern Recognition, 2000. Proceedings. 15th International Conference on; 02/2000
FIBER 01/2000; 56(11):518-523. DOI:10.2115/fiber.56.518 · 0.16 Impact Factor
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ABSTRACT: This paper describes a method for identifying activated region in functional Magnetic Resonance Imaging (fMRI) study. We attempt to identify activated region using fuzzy calculus with three features: (1) Signal change in activated region synchronizes with a paradigm. Therefore we split the time course signal into paradigm term, and analyze correlation of their signal intensities. (2) In activated region signal intensity during active period rises compared with that of rest period. Therefore we examine difference between total intensity in the active period and that in the rest period. (3) An activated region has temporal extent. Therefore, we analyze correlation of signal intensity between interested voxel and its neighbor voxel. Our method determines the activated region that has all these features according to the fuzzy calculus. We applied our method to three fMRI data. Experimental results show that our method can successfully identify activated region.