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Image fire detection algorithms evaluation methods based on image complexity
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Pu Li1, Miao Zhang2
Fire Science and Technology | 2026, 45(5) : 87 - 93
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Fire Science and Technology | 2026, 45(5): 87-93
• Study of fire equipment •
Image fire detection algorithms evaluation methods based on image complexity
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Pu Li1, Miao Zhang2
Affiliations
  • 1Zhengzhou Airport Economy Zone Fire and Rescue Division, Zhengzhou Henan 450000, China
  • 2Heping Fire and Rescue Division of Tianjin, Tianjin 300000, China
Published: 2026-05-15 doi: 10.20168/j.1009-0029.2026.05.0087.07
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The "image complexity" is proposed to measure the difficulty for the algorithm to detect fire in an image. The "human response time" is obtained through the program test method, which could define the true value of the complexity of the image in the data set. Then, convolutional neural network is used to develop an evaluator that can automatically predict the comprehensive complexity of the whole image. Through the consistency analysis, the comprehensive complexity measure of the whole image generated by the Inception ResNet-v2 evaluator is the most effective measure. Furthermore, a performance evaluation method based on image complexity is proposed. This method can evaluate the detection level that the algorithm can achieve under different "image complexity" situations more accurately, providing more valuable reference for the development and optimization of fire detection algorithms.

image complexity  /  fire detection  /  convolutional neural network
李璞, 张苗. 图像复杂度驱动的火灾探测算法评估方法. 消防科学与技术, 2026 , 45 (5) : 87 -93 . DOI: 10.20168/j.1009-0029.2026.05.0087.07
Pu Li, Miao Zhang. Image fire detection algorithms evaluation methods based on image complexity[J]. Fire Science and Technology, 2026 , 45 (5) : 87 -93 . DOI: 10.20168/j.1009-0029.2026.05.0087.07
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Year 2026 volume 45 Issue 5
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Article Info
doi: 10.20168/j.1009-0029.2026.05.0087.07
  • Receive Date：2025-02-20
  • Online Date：2026-10-22
  • Published：2026-05-15
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History
  • Received：2025-02-20
  • Revised：2025-10-09
Affiliations
    1Zhengzhou Airport Economy Zone Fire and Rescue Division, Zhengzhou Henan 450000, China
    2Heping Fire and Rescue Division of Tianjin, Tianjin 300000, China
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https://castjournals.cast.org.cn/joweb/xfkxyjs/EN/10.20168/j.1009-0029.2026.05.0087.07
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小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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