Application Of Statistical Theory To Edge Extraction In Medical Images
P. Chan, Lan Li, Robert L. Lytton, Ronald A. Karwoski, R. A. Robb · 2005
The edge detection in medical images where noise presence is crucial and difficult but has practical applications. edge extraction algorithm specially developed for noisy images. It is based on the statistical theory of hypothesis testing and uses several parallel statistical tests which indeterminate decisions are allowed to insure the reliability and reasonableness of the final decision. Sobel operator to demonstrate the capabilities of this new algorithm for noisy images. This paper describes an