• 基于遥感图像纹理分割方法研究

    We have studied the methods of image texture segmentation systematically.

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  • 流域分割方法性能主要依赖于图像梯度

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

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  • 本文介绍一种新的自适应门限图象分割方法

    This paper presents a new method for image segmentation via adaptive thresholding.

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  • 一种新的基于多级混合模型图像分割方法

    A new approach for image segmentation based on multistage hybrid model.

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  • 提出有效降低误差扩散数据分割方法

    In this paper, a novel data partitioning method is presented, aiming at reducing error propagation for video streaming.

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  • 本文提出一种汉语语音连接词音节分割方法

    This paper presented a syllable segmentation method for Chinese connected speech.

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  • 研究基于速度特征矢量提取运动目标图像分割方法

    An image segmentation method based on the velocity feature vector of moving target was proposed.

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  • 本文基于经验模式分解理论提出了一种新的分割方法

    This paper proposes a new image segmentation method based on the theory of EMD.

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  • 本文提出了一种基于运动生成时空视频分割方法

    This paper presents a spatiotemporal video segmentation algorithm based on the generation of motion window.

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  • 分割试验显示该运动目标分割方法有效性可行性

    Segmentation experiments show the effectivity and feasibility of the segmentation method.

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  • 基于激光分割方法分割物体半导体元件芯片

    Laser based splitting method, object to be split, and semiconductor element chip.

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  • 采用边缘检测阈值分割方法进行软着陆安全区域选取

    Edge detection and threshold segment are used in safe landing area choice.

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  • 实验表明方法一种快速有效新颖图像分割方法

    The experimental results show that it is a fast, effective and novel image segmentation algorithm.

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  • 提出了利用图像局部最大进行区域增长多目标分割方法

    A method of region growth based on maximum value of local entropy is developed.

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  • 提出一种新的考虑亮度变化颜色纯度图像分割方法

    A novel method to segment image is proposed considering the intensity roughness and the color purity.

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  • 使用平台一词指代组件也是特定输入分割方法对不对

    I use the word platform to refer to a set of components that is a specific kind of input into split method, right?

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  • 实验结果表明流域变换医学图像提供了一种崭新分割方法

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

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  • 数据分割中我们分别讨论了基于阈值基于区域分割方法

    In volume data segmentation, the threshold based and region based methods are separately discussed.

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  • 方法分析状态空间分割方法以及分区检测性能影响

    Method The influence of state space partition method, window size and partition Numbers on detecting performance was analyzed.

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  • 提出基于光谱比值细胞光谱显微图像的自动分割方法

    This paper presents an automatic segmentation scheme for cell multi-spectral micrograms based on spectrum ratio.

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  • 第一图像分割方法基于局部分块图像自适应阈值分割方法

    The first method is adaptive threshold segmentation based on local blocks of image.

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  • 最后采用混沌优化获得模糊信息分割方法最佳阈值。

    Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.

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  • 为此文章提出实现了一种基于差的视频运动对象分割方法

    This paper proposes and implements a moving object segmentation method, which based on inter-frame difference.

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  • 车牌定位部分设计实现了基于边缘检测区域搜索定位分割方法

    In the part of plate location and segmentation, we designed and implemented a method through edge detection and plate region search.

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  • 包括libsafe(Mandrake所使用)堆栈分割方法

    This includes libsafe (as used by Mandrake) and split-stack approaches.

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  • 介绍了常用图像分割方法及其优缺点和金相图像分析中的图像分割方法

    In this paper, the traditional methods of image segmentation and their advantages and disadvantages are introduced first.

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  • 针对区域分割方法存在的不确定性问题,提出了基于模型的区域分割方法

    This paper proposes a new region based segmentation method based on cloud model in order to take uncertainty into account in image segmentation.

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  • 通过利用交通标志颜色特征采用基于RGB空间彩色分割方法进行图像分割

    The color segmentation method based on RGB space is used in traffic sign images by means of the features of color.

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  • 搜索空间现有车牌号码识别系统所采用图象分割方法一般说来效率较低

    Generally speaking, the image segmentation method adopted in vehicle license plate recognition systems at present is not efficient due to its large search space.

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  • 搜索空间现有车牌号码识别系统所采用图象分割方法一般说来效率较低

    Generally speaking, the image segmentation method adopted in vehicle license plate recognition systems at present is not efficient due to its large search space.

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