基于多通道增强融合的自适应液晶屏图像分割  

Adaptive LCD image segmentation based on multi-channel enhancement fusion

作　　者：邵晓琦 徐海燕[1] 侯一兴 张学武[1] Shao Xiaoqi;Xu Haiyan;Hou Yixing;Zhang Xuewu(Hohai University,Nanjing 213022,China)

机构地区：[1]河海大学,南京213022

出　　处：《电子测量与仪器学报》2020年第12期76-84,共9页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(F011305);国家重点研发计划(2016YFC0401607)资助项目。

摘　　要：液晶屏电子仪表因其示数精确,抗干扰能力强的特性,逐渐取代了指针式仪表,在工业生产中得到了广泛的应用。针对液晶屏的自身的显示特性和显示原理,提出一种利用信息熵进行自适应彩色形态学预处理且基于HSV空间和色调映射V通道增强液晶屏区域分割方法,并结合了双通道图像加权融合的区域图像增强算法研究,实现液晶屏位置区域的分割。对多种液晶屏图像的分割实验的结果表明,较之传统液晶屏分割方案,该方法对单色液晶屏的分割准确度提升8.6%,对彩色液晶屏分割准确度提升了12.4%。LCD electronic instrument has been widely used in industrial production because of its accurate indication and strong anti-interference ability.According to the display characteristics and display principle of LCD,proposes an adaptive color morphology preprocessing method based on information entropy,and enhances the LCD region segmentation based on HSV space and hue mapping V channel,and combines the region image enhancement algorithm of dual channel image weighted fusion to realize the segmentation of LCD position region.The experimental results show that,compared with the traditional segmentation scheme,the segmentation accuracy of the proposed method is improved by 8.6%for monochromatic LCD and 12.4%for color LCD.

关 键 词：液晶屏 信息熵 彩色形态学 图像增强 多通道增强融合 

分 类 号：TN98[电子电信—信息与通信工程] TP751[自动化与计算机技术—检测技术与自动化装置]