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Scientia Silvae Sinicae ›› 2004, Vol. 40 ›› Issue (4): 145-147.doi: 10.11707/j.1001-7488.20040425

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Log with Knot-Hole Image Processing Based on the Discrete Brownian Random Field and Fractal Parameter

Qi Dawei   

  1. Northeast Forestry University Harbin150040
  • Received:2002-10-24 Revised:1900-01-01 Online:2004-07-25 Published:2004-07-25

Abstract:

A reliable method of X-ray image of log with knot-hole processing based on the fractal discrete Brownian random field model and fractal parameter H was presented in the paper. It is known that the fractal Brownian random field is valid to describe the image of nature scene. In only tiny region of the picture, the surface of gray levels is self_similar in statistics. But for the edges, the point located in the boundaries between adjacent regions, this regular properly will be lost. The fractal parameters of these points will be out of range. In this case we can finger out the edges of knot-hole by calculating the fractal parameter H. The experimental results showed the method was very successful for X-ray image of log with knot_hole. It was significant to computer pattern recognition automatically.

Key words: Log, Knot_hole, Discrete Brownian random field, Fractal, Image processing