https://scholars.lib.ntu.edu.tw/handle/123456789/83985
標題: | A textural approach based on gabor functions for texture edge detection in ultrasound images | 作者: | Chen, Chung-Ming Lu, Henry Horng-Shing Han, Ko-Chung |
關鍵字: | Difference mask; Distance map; Early vision model; Edge detection; Ultrasound image; Wavelet analysis | 公開日期: | 2001 | 卷: | 27 | 期: | 4 | 起(迄)頁: | 515-534 | 來源出版物: | Ultrasound in Medicine & Biology | 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. (E-mail: chung@lotus.mc.ntu.edu.tw) Copyright © 2001 World Federation for Ultrasound in Medicine & Biology. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/132693 https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035012295&doi=10.1016%2fS0301-5629%2800%2900323-9&partnerID=40&md5=45e700ea17054fac0602b9193f9d0049 |
ISSN: | 03015629 | DOI: | 10.1016/S0301-5629(00)00323-9 | SDG/關鍵字: | Edge detection; Image analysis; Textures; Texture edge detection; Ultrasonic imaging; algorithm; article; image analysis; priority journal; ultrasound; Algorithms; Image Enhancement; Models, Theoretical; Phantoms, Imaging; Ultrasonography |
顯示於: | 醫學工程學研究所 |
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