首先利用一组多阈值分割结果建立连通域生长树。
First, the connected region growing tree is established from a set of thresholded images with different thresholds.
针对多阈值分割问题，提出了一种新的多阈值分割算法。
As for image multilevel thresholding, this paper proposed a novel algorithm.
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。
Experimental results show that this method can be effectively applied for the multi-threshold segmentation of complex images.
该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
提出了多阈值模糊互信息图像分割新方法。
The new image multi-threshold method based on fuzzy mutual information is proposed.
为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法。
To determine the optimal thresholds in image segmentation, a new multilevel thresholding method based on particle swarm optimization (PSO) is proposed in this paper.
提出了一种基于知识的多阈值融合图像分割新方法。
A knowledge based image segmentation with multi threshold fusion is presented.
文章从模式识别的分类理论出发，提出了改进的二维类间方差的多门限阈值石块分割方法。
In the paper, firstly, using the classification theory in pattern recognition, approach of multithreshold stone image segmentation based on improved 2D class variance is presented.
图像分割技术是图像处理到图像分析的关键步骤，应用基本的分割技术很难达到多阈值的自适应精确选取。
Image segmentation technique is the key process from image processing to image analysis. It is difficult to choose multi-threshold precisely and automatic using the basic image segmentation technique.
常用的分割算法多采用单一阈值，受光照不均影响较大，不能很好地将果实完整分割。
Single threshold method, which is used as segmentation algorithm commonly, isn't influenced by the homogeneity of light a lot, but can't segment the fruit entirely.
实验结果表明，该方法是求解多峰值直方图图像的最优分割阈值的有效手段。
The experimental result shows that this method is effective in calculating the optimal segmentation threshold of an image.
实验结果表明，该方法是求解多峰值直方图图像的最优分割阈值的有效手段。
The experimental result shows that this method is effective in calculating the optimal segmentation threshold of an image.
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