This paper presents a novel algorithm based on visual attention model to detect blob targets in optical and infrared images.
针对可见光和红外图像中的各类团块目标，提出一种基于视觉注意模型的团块目标检测方法。
This research is a simulation model based on EPIC and some other visual attention model. Attention is considered to play a role of monitoring and adjusting.
本研究建立在EPIC以及其它相关视觉注意模型基础上的视觉注意仿真模型，认为注意在认知加工活动中起监督和调节的作用。
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 visual attention mechanism model for discrete nonlinear sampling is studied to analyze its detection probability during pre-detecting small targets.
针对一种使用了离散非线性采样的视觉注意机制模型，对其应用在小目标预检测上的检测概率进行了研究和分析。
This paper presents a new method which is FCM based on the model of visual attention image segmentation.
本文提出了一种基于视觉注意模型的FCM的图像分割方法。
Aiming at the problem of object contour detection in computer vision, a new contour perception model was proposed, which was based on visual attention mechanism.
针对机器视觉中物体轮廓检测问题，提出了一种基于注意机制的轮廓感知模型。
Based on the focus of visual attention the model can improve the efficiency of image processing and get more accurate image information to implement accurate object recognition.
基于注意焦点的物体识别可以获得更加精确的图像信息，提高物体识别的准确度。
Finally, the paper set up an object recognition theoretical model that is based on human visual attention mechanism.
最后，本文根据视觉注意的焦点，建立了基于视觉注意的物体识别的理论模型。
Finally, the paper set up an object recognition theoretical model that is based on human visual attention mechanism.
最后，本文根据视觉注意的焦点，建立了基于视觉注意的物体识别的理论模型。
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