Ethylene Leak Detection Based on Infrared Imaging: A Benchmark
- URL: http://arxiv.org/abs/2304.01962v1
- Date: Tue, 4 Apr 2023 17:13:06 GMT
- Title: Ethylene Leak Detection Based on Infrared Imaging: A Benchmark
- Authors: Xuanchao Ma and Yuchen Liu
- Abstract summary: Ethylene leakage in the petrochemical industry is closely related to production safety and environmental pollution.
We find that the detection criteria used in infrared imaging ethylene leakage detection research cannot fully reflect real-world production conditions.
We create a new infrared image dataset of ethylene leakage with different concentrations and backgrounds, including 54275 images.
- Score: 14.716538866819326
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Ethylene leakage detection has become one of the most important research
directions in the field of target detection due to the fact that ethylene
leakage in the petrochemical industry is closely related to production safety
and environmental pollution. Under infrared conditions, there are many factors
that affect the texture characteristics of ethylene, such as ethylene
concentration, background, and so on. We find that the detection criteria used
in infrared imaging ethylene leakage detection research cannot fully reflect
real-world production conditions, which is not conducive to evaluate the
performance of current image-based target detection methods. Therefore, we
create a new infrared image dataset of ethylene leakage with different
concentrations and backgrounds, including 54275 images. We use the proposed
dataset benchmark to evaluate seven advanced image-based target detection
algorithms. Experimental results demonstrate the performance and limitations of
existing algorithms, and the dataset benchmark has good versatility and
effectiveness.
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