Omnidirectional structure element of mathematical morphology applied to wood computed tomography testing

Abstract

With the increase of wood demand, wood nondestructive testing technology becomes more and more important. Many nondestructive technologies are established on the basis of multi-subject and high technology. Wood nondestructive testing technology is a comprehensive subject. Recently 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. Math morphologic is a new science based on strict math theory basis, taking set theory as basis, analysing and understanding the digital image, which is also a good tool of geometry morphologic analysis and description; having be a new theory and method under digital image management area, producing great influence on digital image management theory and technology. An approach of image edge detection based on morphology of omnidirectional and multi-scale structuring element is constructed by weighting method of morphological operation.