• A method of watershed segmentation based on morphological gradient reconstructing was proposed.

    提出一种基于形态学梯度重建的改进快速分水岭分割算法。

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  • 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。

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  • The extraction of the brain tissue is achieved through the level set methods and improved watershed segmentation.

    将改进的分水岭算法和水平集算法应用于脑组织的提取。

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  • Two commonly used methods of watershed segmentation were compared and analyzed. One is subarea method, and the other is grid method.

    本文分析比较了流域空间离散化的两种途径:子流域法和网格法,并以此对流域径流过程模拟的影响进行了探讨。

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  • Then, a multiscale morphology gradient-based watershed segmentation algorithm is introduced to segment the video frame in the spatial domain.

    然后,引入基于多尺度形态梯度的分水岭分割算法,对图像进行空域分割。

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  • The strict causality exists in the different scales of gradient watershed segmentation under the multi-scale geodesy reconstructing filtering.

    在多尺度测地重建滤波下,不同尺度的梯度流域 分割线存在严格的因果关系。

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  • A supervised image segmentation algorithm is proposed, which is based on Gaussian statistical property of sub-regions obtained by watershed segmentation.

    在分水岭分割的基础上,利用子区域像素值的高斯统计性质,提出了一种有监督的图像背景学习方法。

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  • The traditional watershed segmentation algorithm is a kind of unsupervised segmentation algorithms, which produces sub-regions without semantic representation.

    传统的分水岭分割算法属于无监督的图像分割算法,分割获得的子区域往往不具备现实的语义信息。

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  • In view of the fuzziness of medical image and the requirement in practical application, a watershed segmentation method was proposed based on the dynamic combination rule.

    针对医学图像的模糊特点和实际应用的要求,提出了一种基于动态合并准则的分水岭分割方法。

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  • To overcome the over-segmentation for the watershed, this paper presented a novel algorithm of watershed segmentation based on fusion and adaptive morphological filtering.

    针对分水岭分割易产生过分割问题,提出一种基于融合自适应形态滤波的分水岭分割算法。

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  • Then, watershed segmentation of the approximation image is computed, and the inverse wavelet transform is used to project this original segmentation up to the higher resolutions.

    对近似图像进行分水岭分割,并且用小波逆变换把原始分割结果逐步映射回更高的分辨率层。

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  • The road initial profile is gotten by marked watershed segmentation in quaternion space with multi-spectral images which solve the question of how to set the initial border in the model.

    通过多光谱图像四元数空间标记分水岭分割,获取道路初始轮廓,解决道路初始边界设置问题;

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  • Results of experiments show that watershed transformation presents a new method for medical image segmentation.

    实验结果表明,流域变换为医学图像提供了一种崭新的分割方法。

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  • Watershed transformation is a powerful morphological tool for image segmentation.

    流域变换是图像分割的有力工具。

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  • The performance of segmentation methods based on watershed depends largely on the gradient of the image.

    流域分割方法的性能主要依赖于图像梯度。

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  • Watershed transform is a classical method of image segmentation in mathematical morphology.

    流域变换是数学形态学中用于图象分割的一种经典方法。

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  • Watershed transform is a classical method of image segmentation in mathematical morphology, and its parallelism is an important problem.

    流域变换是数字形态学中用于图像分割的一种经典方法,其并行化问题成为近年来研究的重点。

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  • Finally, the experimental result proves the contribution of watershed algorithm to urine sediment image segmentation.

    最后,通过实验结果证明了分水岭算法对尿沉渣图像分割所做出的贡献。

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  • Compute the watershed transform of the modified segmentation function.

    对修改后的分割函数做分水岭变换计算。

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  • 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。

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  • This paper adopts watershed transform to segment those images, but this method easily products the over segmentation which results in the edge line buried in disorderly watershed line.

    本文采用分水岭变换对尿沉渣图像进行分割,但此算法容易造成图像的过分割,导致图像的轮廓线掩埋在杂乱的分水岭线中。

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  • The method of combining watershed algorithm and re-gions merging technology is used in this paper, segment iris im-age accurately, and reduce over - segmentation phenomena efficiently.

    在论文中使用了分水岭分割算法与区域合并相结合的方法,有效地对虹膜图像进行分割,并减少过度分割现象。

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  • 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。

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  • Morphological watershed transform is a mathematical morphology image segmentation method. It can access an accurate verge. That is continuous, closed single-pixel width verge.

    形态学分水岭变换是一种数学形态学图像分割方法,它可以得到精确的边缘,即连续、封闭、单象素宽的边缘。

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  • According to the character of CTA images, watershed algorithm was chosen for the CTA bone removal through the depth study of image segmentation method.

    通过对图像分割方法进行学习比较并根据CTA图像特点,选择分水岭算法进行去骨分割。

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  • The method consists of three steps. Firstly, image segmentation is achieved by watershed transform based on phase congruency gradient and foreground marking to extract image objects.

    首先,利用基于相位一致梯度与前景标记的分水岭变换进行影像分割,提取图像斑块;

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  • Due to noise and irregularity of the gradient image, watershed algorithm used to segment images generally leads to over-segmentation, which is unacceptable.

    分水岭算法用于图像分割时通常由于噪声的存在和梯度的不规则造成过度分割。

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  • Watershed is an image segmentation method based on region and mathematical morphology, and it is widely used in the segmentation of gray scale image.

    分水岭变换是一种基于区域和数学形态学的图像分割方法,被广泛用于灰度图像的分割之中。

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  • Furthermore, it can avoid re-segmentation problem in the fixed-scale watershed arithmetic.

    此外,还避免了在固定规模的分水岭算法中的重复分割的问题。

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  • To avoid over segmentation produced by watershed segment algorithm, an image segment algorithm based on the adaptive preprocessing is proposed in this paper.

    为了防止分水岭算法过分割问题,该文提出了一种基于自适应预处理的图像分割算法。

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