Application of omnidirectional structure element of mathematical morphology to wood computed tomography testing

Wood nondestructive testing technology is a new and comprehensive subject. In recent years it has achieved fast development. X-ray 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 nondestructive testing. Mathematical morphology of omnidirectional and multi-scale element, an algorithm of image edge-detection was proposed in the paper. Mathematical morphology of omnidirectional and multi-scale element is defined to suppress noise and adapt to different edge in the image. An approach of image edge detection based on morphology of omnidirectional and multi-scale structuring element is constructed by weighting method of morphological operation. 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.