• 提出一种基于RGB视觉模型交通标志分割算法

    An algorithm of Traffic Sign Segment Based on RGB Vision Model is introduced.

    youdao

  • 为了改善交通标志RGB模型颜色分割效果提出了一种基于三分量色差动态阈值分割改进方法。

    To improving color segmentation effect of traffic sign under the RGB model, a method for image segmentation based on chromatic aberration was presented.

    youdao

  • 根据地区河流特征标志给出基于神经网络沉积相识别方法

    Based on the sedimentary microfacies characteristic symbol of river in an area, this paper presents a kind of sedimentary facies recognition method based on neural network.

    youdao

  • 提出一种基于TCP端口标志异常检测主动检测扫描技术。

    This paper presents a new method, which is active detect network scans, based on TCP's port and flag's anomaly detection.

    youdao

  • 针对数字工业摄影测量像片自动定向问题,提出一种基于自动定向编码标志概略定向算法

    Aiming at the auto orientation of images in digital industrial photogrammetry, a preliminary orientation method based on AutoBar and codes is introduced in the paper.

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  • 针对数字近景摄影测量中的人工标志快速自动匹配问题,提出一种基于双片空间前方交会匹配算法。

    A new matching method based on two-image space intersection was developed, aiming to the fast automatic matching of artificial target points in digital close range photogrammetry.

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  • 本文提出一种基于支持向量交通标志识别算法

    This paper presented a traffic sign recognition algorithm based on SVM (support vector machine).

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  • 提出了一种基于颜色分割形状分析交通标志检测方法

    Based on color segment and shape analysis, a method of road traffic sign detection is proposed.

    youdao

  • 摘要目的提出种基于适配快速检测肺癌肿瘤标志方法

    Abstract: Objective To explore a new aptamer-based rapid detection method for lung cancer tumor markers.

    youdao

  • 摘要目的基于核酸适体提出检测肿瘤标志血管内皮生长因子(VEGF)的比色方法

    Abstract: Objective to develop a novel colorimetric method for detecting the tumor biomarker vascular endothelial growth factor (VEGF) based on aptamer and magnetic beads.

    youdao

  • 本文根据地区河流特征标志给出基于神经网络沉积识别方法

    According to the microfacies characteristic indication of a river in an area, this paper presents a sedimentary facies recognition method based on neural network.

    youdao

  • 本文根据地区河流特征标志给出基于神经网络沉积识别方法

    According to the microfacies characteristic indication of a river in an area, this paper presents a sedimentary facies recognition method based on neural network.

    youdao

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