• Currently, the active contour method models have become an important tool of medical image analysis.

    目前,活动轮廓模型已经成为医学图像分析的重要工具。

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  • So we apply active contour method for engineering applications which are based on level set numerical scheme , and design a program with C.

    为适应这些要求,该文采用基于水平截集的活动围道图像分割方法,进行了面向工程化的算法实现和C应用程序设计。

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  • A robust and novel method for video object contour tracking by improving the dual-front active contour model.

    对双前沿活动轮廓模型进行了改进,提出一种鲁棒的视频目标轮廓跟踪新方法。

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  • The proposed method is applied to the visible-light image and IR-illuminated image in the experimental condition, and contrasted with a method based on active contour.

    用该方法对实验环境照度下捕捉的图像和红外光源辅助照明的图像进行了分析,并与主动轮廓线方法对比。

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  • Geodesic active contour model is an effective method for the contour detection of multiple objects on an image.

    短程线主动轮廓模型是近几年提出的一种有效的多目标轮廓提取算法。

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  • Geodesic active contour is a useful image segmentation method, but it may fail to segment the objects disturbed by complex noises.

    几何主动轮廓线模型是一种有效的图像分割方法。但对于被噪声严重干扰的目标依然很难准确分割。

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  • The image segmentation method based on level set active contour model is widely concerned by domestic and foreign scholars for its superior performance, flexible structure, and diverse forms.

    基于水平集活动轮廓模型的图像分割方法凭借其优越的性能、灵活的结构、多样的形式被国内外学者广泛关注。

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  • We developed an automatic segmentation method of intact leaves based on the geometric active contour model according to the characteristics of color leaf images.

    针对彩色苗木叶片图像的特点研究了利用几何活动轮廓模型进行完整叶片的自动分割的方法。

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  • Combined with the active contour image segmentation method, this model can be applied to texture segmentation.

    再利用基于活动围道的图像分割算法对该子图像进行分割,可以获得良好的纹理图像分割结果。

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  • The proposed method consists of two steps: hand location using mean shift and hand extraction based on adaptive active contour model.

    跟踪算法分为两步进行,首先应用均值漂移算法实现手部区域的定位,然后基于自适应活动轮廓模型提取手部轮廓。

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  • The proposed method consists of two steps: hand location using mean shift and hand extraction based on adaptive active contour model.

    跟踪算法分为两步进行,首先应用均值漂移算法实现手部区域的定位,然后基于自适应活动轮廓模型提取手部轮廓。

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