Simulation of Multi-Modal Rigid Medical Image Layered Enhancement under Grayscale Transformation
In order to improve the medical image enhancement and preserve the image in details,this paper pres-ented a multi-modal rigid medical image enhancement algorithm based on grayscale transformation.Firstly,the noise was removed from multi-modal rigid medical image,and the immune algorithm was adopted to optimize the adaptive threshold and thus to select the best threshold.Based on the denoising result,the medical images were divided into different intervals by wavelet transformation,and then the grayscale transformation was performed on each interval.Af-ter that,the layered enhancement effect was obtained.Finally,the overall enhancement of multi-modal rigid medical image was achieved.The experimental results show that the proposed algorithm can obtain a more ideal enhancement effect of medical image,and improves the clarity,and enhances the visual effect significantly.
NETL
NSTL
万方数据
