title: A median filter algorithm importing ISODATA dynamic clustering for medical imaging.
abstract: To improve conventional median filter algorithm employed in medical imaging, we proposed a new median filter algorithm importing ISODATA dynamic clustering for pattern recognition. The result of clustering was set as the parameters to decide if median filter was necessary and when it was, how the process was to be carried out. As shown in our test, this algorithm was capable of eliminating serious impulse noises and retain thorough image details, therefore enhanced signal to noise ratio and quality of the images in contrast with the conventional median filter algorithm.
authors.affiliation: Department of Biomedical Engineering, First Military Medical University, Guangzhou 510515, China.
authors.forename: Wei-Wen
authors.initials: WW
authors.lastname: Xi
authors.forename: Meng
authors.initials: M
authors.lastname: Zhou
mesh_terms: D000465:Algorithms; D011856:Radiographic Image Enhancement