Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6950691 | Biomedical Signal Processing and Control | 2018 | 12 Pages |
Abstract
First, the nucleus of leukocyte was separated by using the stepwise averaging method. Then based on the interval-valued fuzzy sets, the cytoplasm of leukocyte was segmented by minimizing the fuzzy divergence. Next, post-processing was carried out by using the concave-convex iterative repair algorithm and the decision mechanism of candidate mask sets. Experimental results show that the proposed method outperforms the existing non-fuzzy sets methods Among the methods based on fuzzy sets, the interval-valued fuzzy sets perform slightly better than interval-valued intuitionistic fuzzy sets and intuitionistic fuzzy sets.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Haichao Cao, Hong Liu, Enmin Song,