As to the problem of inaccurate detail in scheme segmentation, a new method of improved watershed algorithm is proposed.
针对传统分水岭算法分割图像后存在的细节不准确问题，提出了一种改进的分水岭算法。
In order to separate the images of clustered cells, an improved algorithm based-on local watershed transform was presented in this work.
为了专门分割重叠粘连细胞的图像，提出一种基于局部流域变换的迭代剥离算法。
This paper suggests an improved marker-based watershed image-segmentation method to reduce the over-segmentation of the watershed algorithm.
为了降低分水岭算法的过分割问题，提出一种新改进的基于标记的分水岭图像分割方法。
To overcome the drawback, a method of improved watershed segmentation algorithm is proposed in this paper.
为了克服这种缺点，本文提出了改进的图像分水岭分割的方法。
Then, an improved parallel watershed algorithm is presented based on the definition of watershed transform with condition of distance.
为了专门分割重叠粘连细胞的图像，提出一种基于局部流域变换的迭代剥离算法。
In this paper we have improved the BP algorithm in the processes of applying BP algorithm of artificial neural networks for the annual average sediment concentration in a watershed by multi-factors.
本文在用人工神经网络BP模型对流域年均含沙量进行多因素建模过程中，对BP算法进行了改进。
In this paper we have improved the BP algorithm in the processes of applying BP algorithm of artificial neural networks for the annual average sediment concentration in a watershed by multi-factors.
本文在用人工神经网络BP模型对流域年均含沙量进行多因素建模过程中，对BP算法进行了改进。
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