DDGVF medical image segmentation algorithm based on wavelet transform

作者：Wu Chun Li^*; Zhang Xian Lin; Nie Rong; Ding Shan

来源：Journal of Northeastern University, 2014, 35(6): 790-794.

DOI：10.3969/j.issn.1005-3026.2014.06.007

• Directional gradient vector flows
• Image segmentation model
• Multi scale analysis
• Parametric active contours
• Segmentation methods
• Synthetic images
• Target images

To overcome the limitations of traditional snake image segmentation model, an improved dynamic directional gradient vector flow (DDGVF) based on wavelet transform was proposed. First, the image to be segmented was decomposed into 3 layers by using the multi-scale analysis of wavelet transform, then the DDGVF segmentation was performed under each layer of the decomposition of the image, and finally, a more accuracy target contour could be acquired. Compared with the other image segmentation methods, the proposed algorithm can better segment the depression area of the target image, get a wider capture range and spend less time. The effectiveness of the improved algorithm has been proved through the simulation experiment of the synthetic image and the real medical image.

• 出版日期2014
• 单位东北大学