Medical images analysis based on fractal dimension and wavelet transform

R. M. Farouk, M. E. Abdel Aziz, S. A. Habib


Most of the problems facing physician in the process of diagnosis in medical images is the noise resulting from the capture movies, whether due to hardware or software used. In this paper, we will show the way to get rid of obfuscation in medical images. This method relies on fractal dimension analysis for texture analysis in medical image and wavelet transform. We have tested our algorithm on CT and MRI images and we have found that the proposed technique is efficient in analysis the texture in medical image. The texture analysis improves the result of diagnosis. We have also compared our proposed techniques with a previous work and we have found that, the presented system helps in improving the diagnosis of medical images.

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