An adaptive marker extraction-based watershed algorithm is proposed to overcome the over-segmentation problem.
针对分水岭算法过分割问题，提出一种基于自适应提取标记的改进算法。
To solve the problem of the over-segmentation, the criterions of region intensity and edge strength and region size are combined.
为解决过度分割的问题，给出了区域的灰度特性和边界强度及区域尺寸相结合的融合准则。
But the traditional watershed transformation has a serious problem of over segmentation, and noise of the image and fake textures may submerge the wanted edge information.
但传统分水岭变换过分割问题严重，图像的噪声和虚假纹理会淹没真正想得到的边缘信息。
The test shows that this method can solve the problem of over-segmentation and achieve the anticipative goal.
实验表明：本算法实现了预期的分割目标，取得了良好的效果。
Finally the application of gray-scale homogeneity criteria and guidelines for the border regions of intensity integration, in order to address the problem of over-segmentation.
最后应用灰度齐次性准则和边界强度准则进行区域的融合，从而解决了过度分割问题。
Toward the problem of over-segmentation, we also propose a region-combination method based on curvature error.
算法对于过分割问题，还给出了一种基于曲率误差的区域的合并处理方法。
For rudimentary watershed produces excessive over-segmentation, a marker-driven watershed is usually employed to deal with the problem.
但直接的分水岭变换会产生严重的过分割现象，在实际应用中往往使用标记分水岭变换来减少过分割现象。
For rudimentary watershed produces excessive over-segmentation, a marker-driven watershed is usually employed to deal with the problem.
但直接的分水岭变换会产生严重的过分割现象，在实际应用中往往使用标记分水岭变换来减少过分割现象。
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