A Modified Thinning Framework Against Noise
- Resource Type
- Conference
- Authors
- Liu, Yuan; Ma, Jun; Ren, Xunhuan; Tsviatkou, Viktar Yurevich; Li, Hao
- Source
- 2022 7th International Conference on Communication, Image and Signal Processing (CCISP) Communication, Image and Signal Processing (CCISP), 2022 7th International Conference on. :145-149 Nov, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Matched filters
Signal processing algorithms
Manuals
Filtering algorithms
Signal processing
Skeleton
Robustness
Thinning framework
Scale-space filtering
Thinning algorithm
Robustness against noise
- Language
We proposed a modified thinning framework that based on the scale space technique to automatically extract skeletons from images without manual-tuning. The proposed framework can increase the robustness of the thinning algorithm, it not only can suppress the boundary noise, but also can alleviate the inner noise. These two types of noise generally cause the appearance of the abundant of the unwanted branches in the outcome of the thinning algorithm, which arise the difficulties of the later recognition or matching process in skeleton. The experiment has proved the proposed framework has better performance when comparing with the other existing methods.