| 邵晓琦,徐海燕,侯一兴,张学武.基于多通道增强融合的自适应液晶屏图像分割[J].电子测量与仪器学报,2020,34(12):76-84 |
| 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 |
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| DOI： |
| 中文关键词: 液晶屏 信息熵 彩色形态学 图像增强 多通道增强融合 |
| 英文关键词:LCD screen information entropy color morphology image enhancement multi-channel enhancement fusion |
| 基金项目:国家自然科学基金(F011305)、国家重点研发计划(2016YFC0401607)资助项目 |
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| 中文摘要: |
| 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%。 |
| 英文摘要: |
| LCD electronic instrument has been widely used in industrial production because of its accurate indication and strong antiinterference 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. |
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