Abstract
In this paper, we propose a new method for a hammering test by using image and sound signal processing techniques. A method for discriminating a property of an object with the use of generated sound when striking it with a hammer is called a hammering test. However, this method depends on human experience and skills. In addition, if we perform this test over a wide area of objects, it is required to manually record hammering positions one by one. Therefore, this paper proposes a hammering test system consisting of two video cameras that can acquire image and sound signals of a hammering scene. The shape of the object is measured by the image signal processing from the result of 3-D measurement of each hammering position, and the thickness or material of the object is estimated by the sound signal processing in time and frequency domains. The validity of proposed method is shown through experiments.
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