Automatic segmentation for cryo-electron micrograph image based on wavelet transformation and difference of Gaussian
10.3969/j.issn.1673-8225.2009.48.017
- VernacularTitle:基于小波变换和高斯差分冷冻电镜生物大分子图像的自动分割
- Author:
Xiaorong WU
;
Xiaoming WU
- Publication Type:Journal Article
- From:
Chinese Journal of Tissue Engineering Research
2009;13(48):9479-9482
- CountryChina
- Language:Chinese
-
Abstract:
Segmentation of cryo-electron micrograph (Cryo-EM) image is crucial to identification of macromolecular particles. In this paper, the features of Cryo-EM image are discussed and a new automatic segmentation algorithm for Cryo-EM image based on wavelet transformation and difference of Gaussian (DoG) is also provided. This method uses wavelet decomposition to do the multi-resolution analysis, which can depress noise and enhance contrast. After DoG image is segmented by using OTSU method, main edges are selected by the combination of gray and grads information. Experiment results show that the algorithm has good result.
