Log x-ray image edge detection based on fractal-morphology analysis
Xuejing Jin, Dawei Qi, Haijun Wu, Lei Yu, Peng Zhang · 2010
The aim of this study is to assess log quality and extract the internal defects information from a log x-ray image with fractal and mathematical morphology method. Firstly, the log image is divided into sub areas, calculate the multi-scale fractal feature (DMF) of each sub areas, the DMFvalues of different regions in a log image are normally different. According to the values of DMFthe internal defects in log can be detected and classified. In order to obtain more continuous edges of the defects in log x-ray image, mathematical morphology theory was also applied in this paper and square structuring element is selected to do a further processing. The experimental result show that, compare to the traditional methods, the method for edge detection of the image based on fractal and mathematical morphology, achieved a better anti-noise performance and preserving the useful defects detail of the log x-ray image effectively.