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   logo recognition 的翻译结果: 查询用时:0.007秒
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logo recognition
相关语句
  图标识别
     Grid feature is a popular feature extraction scheme in image recognition, and usually higher performance could be obtained with the help of deformable template, especially in such difficult image recognition tasks as character recognition, digit recognition, logo recognition etc.
     网格特征是图像识别中一类重要特征,而变形模板对于复杂的图像识别问题如字符识别、数字识别、图标识别等表现出很好的性能,但变形模板很费时.
短句来源
  “logo recognition”译为未确定词的双语例句
     Logo recognition and retrieval algorithm in document image
     文本图像中图标图形的识别检索方法
短句来源
     An improved method of feature extraction based on edge directions is proposed and applied in Vehicle Logo Recognition(VLR).
     提出了基于边缘直方图的一种快速识别方法 ,对汽车标志可以进行高准确度的识别。
短句来源
     To fulfill the application requirement to retrieve logos in automatic processing document image,a logo recognition and retrieval algorithm based on projective features was presented.
     针对文本图像自动处理中对图标图形识别检索的应用需求,提出一种基于投影特征的图标图形识别检索方法。
短句来源
  相似匹配句对
     LOGO!
     叙述了LOGO!
短句来源
     The recognition is to?
     在识别单义域、矢量和工程图元时,既注重横向的关联又重视纵向的关联。
短句来源
     LOGO!
     LOGO!
短句来源
     Logo recognition and retrieval algorithm in document image
     文本图像中图标图形的识别检索方法
短句来源
     Identity and Recognition
     认同与承认
短句来源
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  logo recognition
The problem of logo recognition is of great interest in the document domain, especially for document databases.
      
Applying algebraic and differential invariants for logo recognition
      


An improved method of feature extraction based on edge directions is proposed and applied in Vehicle Logo Recognition(VLR).Edge directions is used to represent the shape attribute and the texture,which is used to be recognize the different images.Experimental results show this method is more effective than the other general methods.

提出了基于边缘直方图的一种快速识别方法 ,对汽车标志可以进行高准确度的识别。边缘直方图能够比较准确地反映图像的边缘和纹理信息 ,不同类图像反映出的统计特性能比较准确地用于分类识别。通过大量的试验证明使用提取边缘直方图和相关算法相结合的方法比一般的识别方法更加快速、有效。

Grid feature is a popular feature extraction scheme in image recognition, and usually higher performance could be obtained with the help of deformable template, especially in such difficult image recognition tasks as character recognition, digit recognition, logo recognition etc. The critical shortcoming of deformable template is time-consuming. In this paper the method of deformable grid is proposed to compensate for the shortcoming of deformable template. Firstly certain grid must be superimposed on...

Grid feature is a popular feature extraction scheme in image recognition, and usually higher performance could be obtained with the help of deformable template, especially in such difficult image recognition tasks as character recognition, digit recognition, logo recognition etc. The critical shortcoming of deformable template is time-consuming. In this paper the method of deformable grid is proposed to compensate for the shortcoming of deformable template. Firstly certain grid must be superimposed on image, then unlike deformable template where deformation is applied to image, various deformations are applied to grid. Because the number of grid is much less than that of pixels in image, the method is much more timesaving comparing to deformable template. The approximate equality of deformable template and deformable gird is also analyzed. The method is evaluated by two image recognition experiments, namely, logo recognition and off-line Chinese character recognition. The improvements in recognition rate by 7.3% in first experiment, and 5.8% in second one are obtained by the use of deformable grid.

网格特征是图像识别中一类重要特征,而变形模板对于复杂的图像识别问题如字符识别、数字识别、图标识别等表现出很好的性能,但变形模板很费时.该文针对网格特征提出了变形网格,并分析了变形模板与变形网格之间的近似等价性.所提方法对网格进行变形而不是对图像变形,因而速度比变形模板快得多,而且性能相差不大.把这种方法分别应用于图标识别和脱机手写汉字识别.图标识别实验中变形模板使识别率提高了7.5%,而变形网格使识别率提高了7.3%.手写汉字识别实验中变形模板使识别率提高了6.1%,而变形网格使识别率提高了5.8%.考虑到变形网格比变形模板快得多,所以这种方法是有优势的.

Vehicle-Logo location is a very important step in Vehicle-Logo recognition(VLR) system. A method of fast Vehicle-Logo location is proposed. When having known the location of Vehicle-license-plate, it can use the feature of the high and mass energy in vertical direction to filter and use the template matching in the raw location rectangle to get the accurate Vehicle-Logo location, experimental results show that with this method, the accuracy of Vehicle-Logo location is above 95%...

Vehicle-Logo location is a very important step in Vehicle-Logo recognition(VLR) system. A method of fast Vehicle-Logo location is proposed. When having known the location of Vehicle-license-plate, it can use the feature of the high and mass energy in vertical direction to filter and use the template matching in the raw location rectangle to get the accurate Vehicle-Logo location, experimental results show that with this method, the accuracy of Vehicle-Logo location is above 95% and each location needs only 150ms to 200ms.

车标定位是车标识别系统中至关重要的一步.作者提出了一种快速的车标定位算法,即在已知车牌位置的情况下,利用车标位置垂直方向能量集中的特点进行滤波处理以及在粗定位矩形框中利用模板匹配的方法得到车标的准确位置.实验结果表明,该方法定位准确率在95%以上,平均速度在150ms至200ms之间.

 
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