The edge detection is very useful for contour and segmentation. But with weak objects, this is very difficult, especially for medical images which store the information of patients. In this paper, we propose an algorithm to detect the edges of object in medical images. Our method uses Bayesian thresholding for medical images denoising and B-spline curve for smoothing. The proposed method is compared with the recent methods. The results of our method are better than the other methods.
CITATION STYLE
Hong Tuyet, V. T., & Thanh Binh, N. (2016). Edge detection in low quality medical images. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 168, pp. 351–362). Springer Verlag. https://doi.org/10.1007/978-3-319-46909-6_32
Mendeley helps you to discover research relevant for your work.