This method USES the generator model of constant voltage and the saliency of generator is included.
该方法采用发电机的恒定模型，并且考虑了发电机的暂态凸极效应。
Nonlinear sampling model is adopted and saliency map is formed based on contrast of neighboring sampling nodes.
在注意机制中采用非线性采样模型，并利用相邻采样点形成显著性图。
A hierarchical object detection method based on vision saliency was proposed for automatic sensing image interpretation.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
A hierarchical object detection method based on vision saliency was proposed for automatic remote sensing image interpretation.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
Results show that the motor has a high saliency ratio(11.8 unsaturated), which make it available for a potential high-performance application.
结果表明，制作出的ALA转子电机具有很高的凸极比（不饱和值达到11.8），并有潜在的优异性能。
The intensity of watermark was proportional to the intensity of saliency of the image, which made the watermark be adapted to the original image.
水印强度与图像的显著性成正比，使水印对原图像具有自适应性。
In experiment 3, we adopted two different distributions of sizes of circles, to examine whether stimulus saliency would impact the mean size extracting.
实验三通过改变成组圆的大小数量分布，考察了平均属性表征是否受刺激显著性的影响。
Different features have different contribution to saliency, so a new approach for salient region detection with automatic feature selection and weighting is proposed.
不同的特征对视觉显著性的贡献是不同的，为此提出一种能够自动进行特征选择和加权的图像显著区域检测方法。
And then for every layer, basic characteristics were extracted, and saliency characteristics including intensity saliency, saturation saliency and color saliency were calculated.
把原始图像分层，对每层分别提取底层特征，计算显著性特征，包括亮度显著性、饱和度显著性和色彩显著性。
Classical saliency-based visual attention models are adapted for embedding real-time systems with less time and space costs based on approximate Gaussian pyramids of the input image.
利用输入图像的近似高斯金字塔，将经典的基于显著性的视觉注意模型改造为时空开销更小的版本，从而使其更加适合在嵌入式实时系统中实现。
A new visual attention model used for rapid perception of complex targets in natural scene is proposed. In the learning process, the model extracts saliency blobs from a given target's image.
针对自然场景图像中复杂结构目标的快速定位问题，提出一种新的视觉注意模型。
A new visual attention model used for rapid perception of complex targets in natural scene is proposed. In the learning process, the model extracts saliency blobs from a given target's image.
针对自然场景图像中复杂结构目标的快速定位问题，提出一种新的视觉注意模型。
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