J4 ›› 2010, Vol. 45 ›› Issue (11): 16-20.

• Articles • Previous Articles     Next Articles

PSO based grayscale correction for cement paste image gathered by μCT

QI Lu1, YANG Bo1*, WANG Lin2   

  1. 1. School of Information Science & Engineering, University of Jinan, Jinan 250022, Shandong, China;
    2. School of Computer Science & Technology, Shandong University, Jinan 250101, Shandong, China
  • Received:2010-06-30 Online:2010-11-16 Published:2010-11-24

Abstract:

When the μCT scans the same cement paste at different times, the grayscale of the same matter are different because that  causes the unstable Xray′s emitted energy the different linear attenuation coefficient. According to the cement hydration principle and the theory of image processing, and using the particle swarm optimization(PSO) algorithm to optimize interval parameters′ range, the grayscale was redirected to another interval, then the original histogram figure was stretched until the two wave crests between the float image histogram and the reference image histogram were aligned. Finally the grayscale correction would be realized.

Key words: grayscale correction; particle swarm optimization  algorithm; wave crest alignment; μCT cement paste image

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