Omnidirectional morphology applied to wood defects testing by using computed tomography

Abstract

Wood non-destructive testing technology is a new and comprehensive subject. An approach of image edge detection based on morphology of omnidirectional and multi-scale structuring element is constructed by weighting method of morphological operation. In recent years wood non-destructive testing has achieved fast development. Computed tomography (CT) scanning technology has been applied to the detection of internal defects in the logs for the purpose of obtaining prior information, which can be used to arrive at better log sawing decision. In addition to the recognition of wood internal defects, computed tomography (CT) technology can be applied to wood non-destructive testing. Mathematical morphology of omnidirectional and multi-scale element is defined to suppress noise and adapt to different edge in the image. The results of simulation in wood image demonstrate that the method performs better not only in edge detection but also in noise-suppression than classical edge detection operator.