边缘匹配
- 网络Edge Match;edge matching
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基于小波变换与垂直边缘匹配的车辆牌照识别
Vehicle License-Plate Recognition Based on Wavelet Transform and Vertical Edge Matching
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一种基于距离变换与标记图的边缘匹配方法
Edge Matching Based on Chamfer Distance Transform and Label Map
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本文提出了一种基于DCT分类的边缘匹配矢量量化算法,充分考虑了当前处理图像块与其相邻图像块之间的相关性以及各码字与该输入矢量之间的边缘匹配失真。
An image coding algorithm based on the classified side-match vector quantization in DCT domain is presented . Correlative predictions between neighboring image blocks are made in the algorithm . The match distortion between input image blocks and the code vectors is also considered .
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支持向量机在边缘匹配矢量量化图像编码中的应用
Application of Support Vector Machines to Side-Match Vector Quantization Image Coding
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基于改进边缘匹配矢量量化器的图象编码算法
An Image Encoding Algorithm Based on the Modified Side-Match Vector Quantizer
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基于边缘匹配和多尺度小波变换的图像校准
Algorithm of image registration based on edge matching and multi-scale wavelet transformation
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基于边缘匹配的图像检索的研究
Research of Edge - Matching Image Retrieval
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快速边缘匹配算法研究
Research on fast edge matching algorithm
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一种快速立体视觉边缘匹配算法
Algorithm for quick stereo edge matching
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其次提出了一种基于小波系数域的快速边缘匹配算法,并分析了运算复杂性。
A very fast contour-matching algorithm based on normalized wavelet descriptor is presented and the computation cost is analyzed .
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针对边缘匹配矢量量化图像编码方法存在的出轨现象,提出一种引入支持向量机的方法。
To tackle the derailment phenomenon consisting in side - match vector quantization image coding technology , we introduced support vector machine .
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文中还提出了快速相关&边缘匹配算法,将其应用于图像矢量量化中的码字搜索过程,取得了良好的效果。
The paper also presents a fast correlation-side match algorithm , which is applied to codeword searching for image vector quantization and has a good result .
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在边缘匹配过程中,首先用一种具有平移,旋转,尺度不变性的规范化小波描述子描述边缘。
In the contour-based matching , a normalized wavelet descriptor , which is invariant to 2-D rigid transformation and insensitive to noise , is employed to describe contours .
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对常用的边缘匹配方法进行介绍,针对传统方法易受图像噪声和图像畸变影响的问题,提出基于引力模型的边缘匹配方法。
Traditional edge matching methods are introduced . As these methods are susceptible image noise and deformation , the author proposes a more robust method based on gravity model .
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其中边缘匹配算法是通过当前边缘与实时更新模板的最优匹配来确定目标的运动位移量。
The edge matching method determines the optimal displacement vector between two successive frames by matching of the target edge template and the current unoccluded edge , and the template is updated in real time .
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本文以连铸板坯长度在线测量系统为例,分析图像检测窗口大小、位置、动态特征匹配算法和测量系统扫描周期、边缘匹配准确性的关系。讨论了影响测量系统鲁棒性的一些主要因素。
With the continuous slab length gauge system as an example , the relations among detection windows size , location , dynamic feature match arithmetic and scan period , edge matching veracity were analyzed , some factors affecting the system 's robustness were discussed in the paper .
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基于Canny算子边缘特征匹配的双目深度测量
Binocular Depth Measurement Based on Edge Feature Matching of Canny Operator
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基于直线边缘特征匹配的扩展目标跟踪方法
Extended Object Tracking Method Based on Straight-Line Edge Feature Matching
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分别单独成形,与缝合边缘完全匹配以避免磨损。
Individually moulded for perfect fit with sewn edges to avoid fraying .
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基于边缘最大匹配的印鉴自动识别方法
Automatic Seal Imprint Identification Based on the Furthest Edge Matching
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随机边缘特征匹配在运动车辆跟踪算法中的应用
Application of Random Edge Feature Matching in the Tracking Algorithms for Moving Vehicles
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一种基于进化策略的边缘特征匹配方法
An Edge Feature Matching Method Based on Evolution Strategy
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由形态学边缘模式匹配实现数字稳像
Stabilization of digital image by morphological edge pattern matching
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基于上下边缘点匹配的连通域搜索算法
An algorithm for searching connective regions based on matching between the points of up-contour and down-contour
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用计算量较小且特征描述性强的边缘轮廓匹配来处理静态手势。
Matching edge contour , with less computation and good characteristic description , was used to process the static gestures .
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夜间图像匹配中,实时夜间图像中的斑状噪声影响了边缘相关匹配的性能。
The real-time images captured at night in pattern matching are usually corrupted by speckle noise , which depresses the matching performance .
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为更好地解决上述问题,本文提出了基于特征点匹配与边缘线匹配相结合的方法。
To resolve those problems mentioned above , in this paper the authors propose a global matching method based on combination of feature point and feature edge .
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在此基础上采用多结构元与图像边缘进行匹配,提出了三种广义形态边缘检测算子并给出了一般表达形式;
Based on above , three general order morphological edge operators are constructed and their formats are given , in which multi-structuring elements are selected to match image edge according to geometrical feature of image .
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针对大范围姿态角度问题,提出了一种分级边缘方位场匹配(HEOFM)的人脸特征定位算法。
In order to improve the facial feature localization under large-scale pose angle , a hierarchical edge orientation field matching ( HEOFM ) based algorithm was proposed .
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在此基础上,先根据人脸图像的整体边缘方位场匹配(GEOFM)进行了姿态预估计,得到特征的粗略定位;然后根据特征边缘方位场匹配(FEOFM)在局部区搜索,实现特征的精确定位。
The global edge orientation field matching ( GEOFM ) was applied to estimate the pose angle and thus obtain the coarse position of the features , and then the further local feature edge orientation field matching ( FEOFM ) was carried out for precise localization .