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井喷现场含雾图像复原技术研究
RESEARCH ON FOG IMAGE RESTORATION TECHNOLOGY ABOUT BLOWOUT SCENE
【摘要】 井喷失控井现场烟雾笼罩,视线受阻,严重影响抢险救援工作的开展。针对水雾弥漫对井喷现场图像的视觉效果干扰,提出了一种基于暗原色先验去雾算法的图像处理方法对井喷现场进行无雾图像复原。实验结果表明,利用图像处理技术的计算机视觉能够获得比人眼直接观察更清晰的井喷现场图像效果,而且与人工观察相比更加安全和持久。
【Abstract】 Blowout well is covered with smog,which affects the rescue work seriously.In order to eliminate visual interference by smog,an image restoration method which uses an image processing technology called image haze-removal algorithm based on the prior dark-channel was proposed.Experimental results showed that computer vision,which adopts the image processing technology,could get clearer image effect than human’s observation in the field of blowout well,and it is more durable and safe.
【关键词】 井喷;
图像处理;
暗原色先验;
去雾算法;
【Key words】 well blowout; image processing; prior dark channel; haze-removal algorithm;
【Key words】 well blowout; image processing; prior dark channel; haze-removal algorithm;
- 【文献出处】 钻采工艺 ,Drilling & Production Technology , 编辑部邮箱 ,2014年02期
- 【分类号】TP391.41
- 【被引频次】3
- 【下载频次】59