摘要
由于井下煤仓环境恶劣,传统的检测方法对井下煤仓煤位不规则光斑图像的边缘确定会产生较大误差,因此,提出了采用三角形遍历法结合区域增长法来检测井下煤仓煤位不规则光斑图像的面积,该方法能够准确地检测光斑图像面积,大大降低了由于井下煤仓各种不利环境因素所造成的干扰和影响,确保了井下煤仓煤位检测更加准确。
Due to the abominable environment of underground coal bins, the marginal deter- mination of irregular light spot of coal level in underground coal bins existed error if using tradi- tional detecting methods. Therefore, the triangle traversal algorithm combined with region grow- ing algorithm was proposed to determine the area of irregular light spot image of coal level in coal bins. This method guaranteed the exact detection of the area of light spot image and greatly re- duced the disturbance caused by various unfavorable environmental factors in the underground coal bins, assuring the precise detection of cola level in underground coal bins.
出处
《中国煤炭》
北大核心
2013年第4期68-70,90,共4页
China Coal
基金
河南省控制工程重点学科开放基金(KG2011-16)
河南省重点公关项目(112102210004)
关键词
煤仓煤位
不规则光斑
图像识别
辅助光源检测
coal level in coal bin, irregular light spot, image recognition, auxiliary light source detection
