Detection of small lesions in medical x-ray image based on multi-scale fractal feature
X Jin, D Qi, H Wu, F Liu - 2009 2nd International Conference on …, 2009 - ieeexplore.ieee.org
X Jin, D Qi, H Wu, F Liu
2009 2nd International Conference on Biomedical Engineering and …, 2009•ieeexplore.ieee.orgX-ray technology is being increasingly employed for the clinical diagnosis and remedies in
recent years. In order to distinguish small lesions in a medical X-ray image correctly, digital
image processing technology is linked with clinical diagnosis. A method in medical image
processing based on multiscale fractal feature (D MF) was applied in this paper. The D MF
values of different regions in a medical image are normally different. According to the values
of the D MF, small lesions in a medical X-ray image can be detected. This method has been …
recent years. In order to distinguish small lesions in a medical X-ray image correctly, digital
image processing technology is linked with clinical diagnosis. A method in medical image
processing based on multiscale fractal feature (D MF) was applied in this paper. The D MF
values of different regions in a medical image are normally different. According to the values
of the D MF, small lesions in a medical X-ray image can be detected. This method has been …
X-ray technology is being increasingly employed for the clinical diagnosis and remedies in recent years. In order to distinguish small lesions in a medical X-ray image correctly, digital image processing technology is linked with clinical diagnosis. A method in medical image processing based on multiscale fractal feature (DMF) was applied in this paper. The DMF values of different regions in a medical image are normally different. According to the values of the DMF, small lesions in a medical X-ray image can be detected. This method has been applied to a digital bone fracture X-ray image. Experimental result showed that the DMF values of the background regions are between 0.005 and 0.020; the DMF values of the normal regions are between 0.040 and 0.070; and the DMF values of the knot regions are between 0.100 and 0.200. This method has stronger distinguishing ability, showing better performance in clinical diagnosis.
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