Total Variation-based Denoising Model for Bioinformatics Images

International Journal Bioautomation

卷:20

Zhenhua Zhou¹ 

[1] Xi'an International University, Xi'an, 710077 China;

关键词: Denoising model;    Bioinformatics image;    Total variation model;    Image filtration method;   

DOI  :  

来源: DOAJ

【 摘 要 】

The total variation-based denoising model enhancement method for bioinformatics images is introduced at the beginning of this paper, and this model morphologically reconstructs and constrains the regularization items. The model is smoothed with variance in different areas by adding the smooth coefficient, and accordingly the image denoising effect is enhanced. Compared with the traditional image filtration model, the optimized total variation-based model is more distinctive in the field of higher items and lower items. As the simulation experiment shows, the optimized total variation-based model has the better effect in denoising. Lastly, by applying the marked-based watershed segmentation algorithm and the optimized total variation-based image denoising model, the bioinformatics image is segmented.

【 授权许可】

Unknown