How to recover smooth object boundaries in noisy medical images
نویسندگان
چکیده
Diagnostics in medicine is often based on analysis of medical images. Extraction of the shape of objects is one basic step for further image analysis. It consists of two steps: (i) edge detection and (ii) contour recovery based on the detected edge points. In this paper we focus on the second step. We describe the boundary of an object by trigonometric polynomials and present a fast and robust method for the approximation of the boundary from a given set of nonuniformly distributed noisy edge points. We show how the proposed technique can be e ciently generalized to 3-D surface recovery. Examples from 2-D and 3-D echocardiography are given. IEEE Proc. ICIP-96, vol.3, pages 331-334
منابع مشابه
MEDICAL IMAGE SEGMENTATION AND DIFFUSION WEIGHTED MAGNETIC RESONANCE IMAGE ANALYSIS By WEIHONG GUO A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY
of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy MEDICAL IMAGE SEGMENTATION AND DIFFUSION WEIGHTED MAGNETIC RESONANCE IMAGE ANALYSIS By Weihong Guo May 2007 Chair: Yunmei Chen Major: Mathematics Medical image segmentation plays an important role in diagnosis, surgical planning, navigat...
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