For natural images of complex texture, a supervised boundary detection method using the multi-information fusion was proposed.
针对自然图像纹理复杂的特点，提出了一种多种信息融合的有监督边界检测方法。
In order to track a target in space and scale in a complex background, a target tracking algorithm based on the nonparametric clustering and multi-scale images is presented.
为了实现复杂背景下的目标空间定位和尺度定位，提出了一种基于非参数聚类和多尺度图像的目标跟踪算法。
Experimental results show that this method can be effectively applied for the multi-threshold segmentation of complex images.
应用实例结果表明，该方法能够快速有效地实现复杂图象的多阈值分割。
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