Improved morphological method in the detection of log CT image with defect

Abstract

Mathematical morphology is a new subject established based on rigorous mathematical theories. In the basis of set theory, mathematical morphology is used for image processing, analysing and comprehending. It is a powerful tool in the geometric morphological analysis and description. It has become a new theory in the digital image processing field. Morphology offers a unified and powerful approach to numerous image processing problems. Mathematical morphology is a mathematic tool to analyze the image based on the structuring element. Moreover, it has deep influence on the image processing theory and technology. Edge is the basic feature in the image. It involves a lot of valuable target information of boundary, which is used for image processing, target identifying and image filtering. The mathematical morphology is an effective theory used to locate the image edge. In the paper improved multi-scale and structuring element in mathematical morphology is used to detect log CT image with defect, and the Omnidirectional Structure Element provides a new method in log defect recognition.