التفاصيل البيبلوغرافية
| العنوان: |
MRI image segmentation method based on anisotropic diffusion and spatial FCM. (English) |
| المؤلفون: |
ZENG Wen-quan, HE Yong-jun, CUI Xiao-kun |
| المصدر: |
Application Research of Computers / Jisuanji Yingyong Yanjiu; Jan2014, Vol. 31 Issue 1, p316-320, 5p |
| مصطلحات موضوعية: |
IMAGE segmentation, MAGNETIC resonance imaging, ANISOTROPY, DIFFUSION, FUZZY mathematics, CLUSTER analysis (Statistics), BURGERS' equation |
| مستخلص: |
To resolve the difficult problem of soft tissue segmentation of MRI images of the segmentation of the multi target region of interest in the MRI images with complex targets and fuzzy boundary, this paper proposed a novel MRI image segmentation method, based on anisotropic diffusion and spatial fuzzy C-means clustering (SFCM). It preprocessed the images using the nonlinear and anisotropic diffusion, resolving the problem of weakening the image details while removing the noise. It designed space function combining with the neighborhood space, improving traditional FCM objective function. It used the spatial information of the image to achieve the accurate classification of every object in image was an effective solution to the isolated area correctly classified. After that, it obtained complete and continuous segmented regions. Finally, it utilized the fitting curve of histogram to initialize the classification number and the initial cluster centers, accelerating the algorithm iterative to the optimal solution, and also reducing the run time. The experiments show that the possibility of find a best solution is improved by introducing the method of MRI image segmentation method based on anisotropic diffusion and spatial FCM, so as to the processing of MRI images segmentation which has overlapped grayscale, discontinuous objects and fuzzy boundary. [ABSTRACT FROM AUTHOR] |
|
Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
