標題: | A textural approach based on Gabor functions for texture edge detection in ultrasound images |
作者: | Chen, CM Lu, HHS Han, KC 統計學研究所 Institute of Statistics |
關鍵字: | ultrasound image;edge detection;early vision model;wavelet analysis;distance map;difference mask |
公開日期: | 1-四月-2001 |
摘要: | Edge detection is an important, but difficult, step in quantitative ultrasound (US) image analysis. In this paper, we present a new textural approach for detecting a class of edges in US images; namely, the texture edges with a weak regional mean gray-level difference (RMGD) between adjacent regions. The proposed approach comprises a vision model-based texture edge detector using Gabor functions and a new texture-enhancement scheme. The experimental results on the synthetic edge images have shown that the performances of the four tested textural and nontextural edge detectors are about 20%-95% worse than that of the proposed approach. Moreover, the texture enhancement may improve the performance of the proposed texture edge detector by as much as 40%, The experiments on 20 clinical US images have shown that the proposed approach can find reasonable edges for real objects of interest with the performance of 0.4 +/- 0.08 in terms of the Pratt's figure. (C) 2001 World Federation for Ultrasound in Medicine & Biology. |
URI: | http://dx.doi.org/10.1016/S0301-5629(00)00323-9 http://hdl.handle.net/11536/29729 |
ISSN: | 0301-5629 |
DOI: | 10.1016/S0301-5629(00)00323-9 |
期刊: | ULTRASOUND IN MEDICINE AND BIOLOGY |
Volume: | 27 |
Issue: | 4 |
起始頁: | 515 |
結束頁: | 534 |
顯示於類別: | 期刊論文 |