• 基于模糊多层分割算法

    Multi-level segmentation method based on fuzzy.

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  • 然后具体介绍了基于这种特征分割算法

    Then, based on the new feature, introduce the segmentation algorithm detailed.

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  • 本文提出了灰度图像最佳阈值分割算法

    In this paper, An algorithm of segmentation of intensity images is presented.

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  • 文章介绍了车牌图像二值化字符分割算法

    This article introduces the algorithm of bicycle images binary and segmentation of characters.

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  • 提出一种基于高斯拟合平面足迹图象分割算法

    A planar barefoot impression image segmentation method base on Gaussian fitting is proposed.

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  • 根据视觉颜色聚类特性提出一种图像分割算法

    Proposes an image segmentation algorithm based on perceptual color clustering.

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  • 本文提出了一种噪声图象快速边缘提取分割算法

    An algorithm of fast edge extraction and segmentation in noisy image is described in this paper.

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  • 针对情况提出一种基于组合思想分割算法

    To solve this problem, an efficient segmenting algorithm based on combination strategy is proposed in this paper.

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  • 提出一种基于曲线演化监督式纹理分割算法

    This paper proposes an algorithm based on curve evolution for unsupervised texture segmentation.

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  • 提出一种基于改进OTSU方法运动车辆分割算法

    This paper proposes a moving car segmentation method based on improved OTSU method.

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  • 提出一种基于RGB视觉模型交通标志分割算法

    An algorithm of Traffic Sign Segment Based on RGB Vision Model is introduced.

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  • 对于火焰图像分割,我们采用二维最大熵分割算法

    For image segment the article using a two-coordinate maximum entropy segment method.

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  • 提出一种传统指纹图像分割算法——方差改进算法

    An improved algorithm of the traditional fingerprint image segmentation algorithm-variance method is proposed.

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  • 文章提出了一种基于最小错误率SAR图象自动分割算法

    The paper presents an algorithm of automatic SAR image segmentation based on minimum error ratio.

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  • 实现了分水岭图像分割算法算法应用立体匹配中

    The paper realizes the watershed image division algorithm, and applies this algorithm to stereo matching.

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  • 决策方法解决了图像跟踪系统分割算法选取一系列难题

    The decision method solves a series of problems for segmentation algorithm selection in image tracking system.

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  • 提出一种基于表面法向高斯混合模型距离图像分割算法

    A range image segmentation algorithm based on Gaussian mixture model of surface normal is proposed.

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  • 为此提出了一种基于形态学算子视频运动对象自动分割算法

    For the first step, a morphology operator-based video motion object segmentation algorithm is proposed.

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  • 阐述了基于遗传算法最大分割算法原理及实现步骤。

    Firstly, we expatiate the segmentation algorithm theory of two dimension maximal entropy based on inheritance algorithm.

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  • 最底层提取视频特征,并提出一种视频语义片段自动分割算法

    The bottom layer of the semantic inference framework extracts low level features at the frame level with a semantic clip segmentation algorithm based on the acceleration of the global motion.

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  • 图像分割算法包括规格化化、方向图、背景前景分割四个部分。

    The fingerprint image segmentation algorithm include normalize, soft, the direction of point, the segmentation of background.

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  • 另外,基于DCT变换提出了新的指纹图像分割算法奇异定位算法

    Furthermore, we extend the use of DCT, and give a new algorithm on image partition and singular points location.

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  • 然后引入基于尺度形态梯度分水岭分割算法,对图像进行空域分割

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

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  • 针对上述问题提出一种融合图象腐蚀区域生长矸石图象分割算法

    For above problems, the paper proposed a segmentation algorithm of gangue image based on image eroding and region growing.

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  • 针对工业现场环境恶劣,干扰严重的情况,提出一种新的图象分割算法

    And in order to conquer the industry field interference, this paper presents a new image segmentation algorithm.

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  • 分析布氏硬度试验压痕图像基础上,提出基于属性直方图图像分割算法

    Based on the analysis of the features of brinell hardness test indentation image the applied image segmentation algorithm based on the histogram of the indentation image is put forward.

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  • 该文提出了一种新的基于视觉抑制模型连通统计阈值图像分割算法

    This paper proposes a novel algorithm about image segmentation based on the vision lateral inhibition model and statistics of consecutive fields.

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  • 为了准确检测分割阴影提出基于向量匹配的阴影检测与分割算法

    To detect and segment the shadow accurately, an algorithm based on body color vector matching is presented.

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  • 为了准确检测分割阴影提出基于向量匹配的阴影检测与分割算法

    To detect and segment the shadow accurately, an algorithm based on body color vector matching is presented.

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