X-ray image enhancement using a modified anisotropic diffusion
Lina Septiana, Kang‐Ping Lin · 2014
This study presents a novel X-ray image enhancement method. The method proposed in this study is an improved method from Perona-Malik anisotropic diffusion to enhance the quality of X-ray image. This improvement is implemented by combining histogram equalization, Perona-Malik anisotropic diffusion, and a weighted K-means clustering. The result from the real X-ray image shows that the proposed algorithm can improve the image quality of the original low dose x-ray image and make it become more reliable.