A Math morphological Approach for Automatic Fracture Recognition on Sidewall Images
Qin Wei, Chen Xiufeng.
Erosion algorithm and dilation algorithm in math morphology together with image processing are successfully used for automatic simple fracture recognition on side wall images. Math morphology, based on stochastic set theory, integral geometry, topology and modern algebra, is a subject for digital image processing and recognition. Most morphological approaches are on the basis of erosion and dilation algorithms, with which we can improve image quality, describe and define various geometry parameters and features of images, such as area, circumference, continuity, grain size, matrix and directivity, etc.. With the method mentioned above, imaging log interpretation software developed by CNPC logging project team helps to realize the erosion and dilation algorithms, and also processes log data from FMS2, FM1, STAR, EM1, CBIL as well as some other China made imaging logging tools. Applications prove this approach is able to provide more reliable calculations, in other words, more precise fracture images.
【CateGory Index】： P631.8