基于视觉干扰抑制的古建筑早期火焰图像识别方法及系统

By constructing a physical evolution model of smoke and flame in the early stage of a fire and conducting spatiotemporal consistency analysis, extracting spatiotemporal consistency feature sequences and suppressing visual interference, the problem of distinguishing between flames and smoke in ancient buildings was solved, and accurate identification of early flame images was achieved.

CN121884245BActive Publication Date: 2026-07-17CHINA FIRE RESCUE ACAD
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Patent Information

Application Number
CN202610044855.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-14
Publication Date
2026-07-17
Estimated Expiration
2046-01-14

AI Technical Summary

Technical Problem

In ancient buildings, the smoke from burning smoke is similar to that of early flames in terms of diffusion patterns, brightness changes, and motion characteristics, resulting in insufficient accuracy in flame image recognition and making it difficult to accurately distinguish between the smoke and flames.

Method used

By constructing a physical evolution model of smoke and flame in the early stage of a fire, spatiotemporal consistency analysis is performed, spatiotemporal consistency feature sequences are extracted, visual interference suppression processing is carried out, candidate flame regions are screened, and judgment and identification are made in combination with smoke concentration and temperature information.

Benefits of technology

It improves the accuracy and stability of early flame image recognition in ancient buildings and solves the problem of flame recognition under smoke interference.

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Abstract

本发明公开了基于视觉干扰抑制的古建筑早期火焰图像识别方法及系统，涉及图像识别技术领域，包括：获取视频图像序列、烟气浓度信息和温度信息；构建火灾早期烟气‑火焰物理演化模型对视频图像序列进行时空演化一致性分析，提取时空一致性特征序列；基于时空一致性特征序列对视频图像序列进行视觉干扰抑制处理，获得火焰候选图像序列，并进行时空特征提取，获得火焰时空特征；对火焰候选图像序列进行判定识别，获得目标早期火焰图像识别结果。本发明解决现有技术中在古建筑燃香烟气等复杂视觉环境下早期火焰易与烟气混淆、识别准确性不足的技术问题，达到提高古建筑早期火焰图像识别准确性和稳定性的技术效果。
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Citation Information

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