Google
May 7, 2022A fully automated image segmentation method based on FCN and Graph Cuts has been proposed. First, FCN is employed to obtain an original mask for the input�...
Detailed Record ; Document Type: Article ; Subject Terms: *IMAGE segmentation *COMPUTER vision *CONVOLUTIONAL neural networks *HUMAN-computer interaction
May 7, 2022Finally, iterative segmentation is performed using generative seeds and superpixel-level Graph Cuts. Experimental results show that our method�...
First, FCN is employed to obtain an original mask for the input image, but its boundary is poor. Second, we generate seed regions heuristically using color�...
Fully automatic image segmentation based on FCN and graph cuts ; Journal: Multimedia Systems, 2022, № 5, p. 1753-1765 ; Publisher: Springer Science and Business�...
People also ask
Dec 4, 2022We used a systematic approach to perform an extensive review of automated lung segmentation methods. We chose Scopus, PubMed, and Scopus to conduct our review.
A multi-object segmentation method was proposed to extract the specific image regions pertaining to individual target organs in abdominal CT images.
For example, Wang et al. [8] proposed a fully automatic image segmentation method based on FCN and Graph Cuts. Considering that the FCN segmentation results�...
Fully automatic image segmentation based on FCN and graph cuts. Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/mms/WangGWKZ22. Home�...
Mar 14, 2023This paper introduces the reader to the basics of semantic segmentation and reviews the deep learning methods applied to semantic segmentation.