吉首大学学报(自然科学版)

• 电子与信息 • 上一篇    下一篇

自适应Retinex与Canny的炉膛火焰边缘检测算法

谭亚鹏,李丽华,张书真   

  1. (1.吉首大学物理与机电工程学院,湖南 吉首 416000;2.芷江师范学校,湖南 怀化 418000;3.吉首大学信息科学与工程学院,湖南 吉首 416000)
  • 出版日期:2016-05-25 发布日期:2016-06-24
  • 作者简介:谭亚鹏(1987—),男,湖南长沙人,吉首大学物理与机电工程学院硕士生,主要从事信号处理与智能控制研究;李丽华(1974—),女,湖南溆浦人,芷江师范学校高级讲师,主要从事计算机教学研究.

Adaptive Retinex and Modified Canny Edge Detection Algorithm for Furnace Flame

TAN Yapeng,LI Lihua,ZHANG Shuzhen   

  1. (1.College of Physics and Electromechanical Engineering,Jishou University,Jishou 416000,Hunan China;2.Zhijiang Normal School,Huaihua 418000,Hunan China;3.College of Information Sience and Engineering,Jishou University,Jishou 416000,Hunan China)
  • Online:2016-05-25 Published:2016-06-24

摘要:

对炉膛火焰图像的增强与检测是获得炉膛内部燃烧情况的重要手段.首先,提出了一种自适应多尺度Retinex算法,提高了火焰清晰度和炉膛火焰与炉膛的对比度.其次,提出了识别火焰边缘改进的Canny算法,提高了火焰边缘清晰度.仿真结果表明,炉膛火焰与环境对比度得到提高,改善了图像的视觉效果,火焰边界连续且轮廓清晰.

关键词: Retinex算法, Canny算法, 图像增强, 边缘检测

Abstract:

Analysis of furnace flame is an important method to obtain the combustion condition inside the furnace.Accordingly.an adaptive multi-scale Retinex (MSR) algorithm is proposed.which effectively improves the clarity and detail of the fire flame and enhances the contrast of fire flame with the background.In order to get a better monitoring result,improved Canny algorithm is adopted to identify the flame edge,and improves the ability of extracting the flame edge details and suppressing the false edge.After image enhancement and edge detection,it can more accurately grasp the internal combustion situation of furnace.The simulation experiment shows that the brightness of the flame is improved effectively.the contrast of flame with furnace is obvious.and the edge of the flame is continuous and clear.

Key words: Retinex algorithm, Canny algorithm, image enhancement, edge detection

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