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。
A bias function for each single feature was defined, and a compound bias function for synthesis of vision saliency image computed by each function was also defined.
该方法对于每一个特征定义一个偏好函数，并定义一个将各偏好函数计算的多个视觉显著性图像合成为一个视觉显著性图像的合成偏好函数。
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。
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 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 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。
According to the final saliency map, the salient regions in an image are detected. This approach has been tested on natural images.
在多幅自然图像上进行实验，实验结果表明，该方法在运算速度和检测效果方面都取得了不错的效果。
According to the final saliency map, the salient regions in an image are detected. This approach has been tested on natural images.
在多幅自然图像上进行实验，实验结果表明，该方法在运算速度和检测效果方面都取得了不错的效果。
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