A Novel Defect Segmentation for Pulse Infrared Images Based on Improved Fuzzy C-Means Algorithm With Weighted Distance
Author:
Affiliation:
1. School of Reliability and Systems Engineering, Beihang University, Beijing, China
Funder
funding agencies in the public, commercial, or not-for-profit sectors
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/20/10026423/09994715.pdf?arnumber=9994715
Reference22 articles.
1. Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences
2. AN OTSU image segmentation based on fruitfly optimization algorithm
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4. Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation
5. Detection algorithm of defects on polyethylene gas pipe using image recognition
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