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infrared image features
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  “infrared image features”译为未确定词的双语例句
     In order to understand the variation rule of the infrared image features,improve the reliability and stability of the automatic target recognition system,the characteristic of longwave infrared image of the ground scene acquired in typical weather condition through the whole day was analyzed,the variation rule of typical image statistic features along with the variation of time and weather was studied and summarized.
     为了研究并掌握场景中目标的红外图像变化规律,提高自动目标识别系统的可靠性和稳定性,对实际采集得到的地面场景典型气象条件下一天24h的长波红外图像进行分析,研究了不同地物类型对应的红外图像典型统计特征随时间和气象条件变化的规律。
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  相似匹配句对
     Infrared Image Fusion
     红外图像融合
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     Collecting of infrared facular image
     红外成像光斑图像采集
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     The image
     贫验结果和模拟象符合的较好。
短句来源
     image;
     企业形象研究;
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     Background Features Analysis of Satellite Infrared Image
     卫星侦察红外图像背景特征分析
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A new method is presented, using infrared image features and radial basis probabilistic neural network (RBPNN) for insulator contamination grades detection of natural contaminated insulators under different humidity. An amended alpha filter and an image segmentation method based on the histogram trough of the insulator image are adopted to preprocess the insulator infrared image. Experiments are designed under different humidity, four features which can represent the contamination...

A new method is presented, using infrared image features and radial basis probabilistic neural network (RBPNN) for insulator contamination grades detection of natural contaminated insulators under different humidity. An amended alpha filter and an image segmentation method based on the histogram trough of the insulator image are adopted to preprocess the insulator infrared image. Experiments are designed under different humidity, four features which can represent the contamination grades of the insulator are extracted from the segmented image, they are the mean temperature of the image background, the highest temperature of the insulator surface, the mean temperature of the insulator surface, the temperature variance of the insulator surface, RBPNN is designed to map the relation between the infrared image features of the insulator under different humidity and the contamination grades; then RBPNN is trained to recognize the contamination grades. A method integrated gradient algorithm and random algorithm is applied to decide the centers of hidden nodes、the width control parameters and the weights matrix of the RBPNN . Experiments results indicate this method is an effective approach for the detection of the insulator contamination grades.

提出一种利用污秽绝缘子红外图像特征和径向基概率神经网络(RBPNN)来检测不同湿度条件下自然污秽绝缘子污秽等级的新方法。采用修正后的阿尔法滤波器和基于波谷的图像分割方法对绝缘子红外图像进行预处理。提取了不同湿度条件下的图像背景(周围环境)的平均温度、绝缘子盘面区域的最高温度、绝缘子盘面区域的平均温度、绝缘子盘面温度分布的方差值作为反映污秽等级的4个特征量。通过RBPNN建立了湿度及污秽特征与污秽等级之间的映射关系,并利用训练好的RBPNN识别绝缘子污秽等级;另外提出一种梯度算法与随机性方法相结合的算法来确定RBPNN的隐中心、宽度控制参数及权值矩阵。实验结果证明该方法能有效识别不同湿度条件下绝缘子的污秽等级。

In order to understand the variation rule of the infrared image features,improve the reliability and stability of the automatic target recognition system,the characteristic of longwave infrared image of the ground scene acquired in typical weather condition through the whole day was analyzed,the variation rule of typical image statistic features along with the variation of time and weather was studied and summarized.The result shows that the brightness of the image regions...

In order to understand the variation rule of the infrared image features,improve the reliability and stability of the automatic target recognition system,the characteristic of longwave infrared image of the ground scene acquired in typical weather condition through the whole day was analyzed,the variation rule of typical image statistic features along with the variation of time and weather was studied and summarized.The result shows that the brightness of the image regions is corresponding to the different objects changing in cosine curve approximately,and its standard deviation and entropy feature changed in mono-apex curve.Moreover,the contrast reverses because the brightness variation is inconsistent at the different regions.

为了研究并掌握场景中目标的红外图像变化规律,提高自动目标识别系统的可靠性和稳定性,对实际采集得到的地面场景典型气象条件下一天24h的长波红外图像进行分析,研究了不同地物类型对应的红外图像典型统计特征随时间和气象条件变化的规律。研究结果表明,图像各区域亮度的日时变化表现为近似余弦的变化规律,标准差和熵特征表现为单峰的变化规律,并且,各区域由于亮度变化不一致而存在对比度反转的现象。

>=The IR image from the complex scene is not as simple as the point-source target image. So the traditional feature extraction method that based on gray statistical to distinguish the target and the scene is hard to make effect. The fractal geometry theory presents the new direction. To the limitation of the traditional algorithm that has lower calculation speed, a descend-dimension algorithm is put forward to meet the request. The result of experiments has demonstrated effectiveness of this...

>=The IR image from the complex scene is not as simple as the point-source target image. So the traditional feature extraction method that based on gray statistical to distinguish the target and the scene is hard to make effect. The fractal geometry theory presents the new direction. To the limitation of the traditional algorithm that has lower calculation speed, a descend-dimension algorithm is put forward to meet the request. The result of experiments has demonstrated effectiveness of this method. A new fractal-based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and the method is tested in some experiments too.

红外目标图像的特殊性导致单单依赖基于灰度统计信息的特征提取方法区分背景和目标很难奏效。本文使用分形方法对复杂背景目标识别算法进行研究。针对传统方法计算量大、运算时间长的特点,采用基于灰度剖面降维的形态学分形维数计算方法,减少了计算量。针对传统分形方法某些情况下,由于滑窗选取不当导致分形维数计算偏差较大的局限性,采用计算多方向分形维数的方法,较为有效地标记出被检测目标。实验结果表明了本算法的有效性。

 
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