提出了基于人类视觉系统的自然场景图像颜色和纹理特征提取方法。
A nature scene image color-texture feature extraction method based on human visual system (HVS) was proposed.
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.
利用提出的算法对多幅自然场景图像进行了分割实验，实验结果证明了算法的有效性。
The new algorithm is applied to segment a number of natural images and its effectiveness and efficiency is confirmed by experimental results.
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