本文提出了一种基于视觉注意模型的FCM的图像分割方法。
This paper presents a new method which is FCM based on the model of visual attention image segmentation.
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 paper presents a novel algorithm based on visual attention model to detect blob targets in optical and infrared images.
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