垂直投影

  • 网络vertical projection;perpendicular projection;project vertical
垂直投影垂直投影
  1. 本文还采用了面向车牌的基于彩色模型的车牌区域二值化算法,提出了结合垂直投影和连通域对车牌区域进行字符切分,很好的解决了字符粘连和过度切分的问题。

    This paper also purposes a license plate binaryzation algorithm based on a color model , and segments the characters of the plate combining the perpendicular projection and connected domain in order to avoid character adhesion or excessively segment .

  2. 创造性地采用垂直投影,双CCD倾斜成像机构,提高了光场的均匀性和可测物范围。

    Two CCDs with the structure of vertical projecting and inclined imaging are used to eliminate the reflection and to get better light field .

  3. 在车牌定位和字符分割环节,深入研究了Otsu二值化算法,实现了基于边缘检测和垂直投影的车牌定位技术。

    In the modules of plate location and character isolation , the binary algorithm-Otsu is researched in-depth and the vertical projection to locate plate is used .

  4. 将起伏地形上的测点垂直投影至水平面上,并将地形上的位场u放在水平面的对应点上,这样就有一个平面上的假想位场u。

    Vertically projecting the observation point at a undulate terrain onto a horizontal plane and copying the potential u at the terrain to the corresponding point at the horizontal plane , we get a fictitious potential field on a horizontal plane .

  5. 该方法是在HSV彩色空间中,充分利用车牌图像提供的彩色信息,构造出5级灰度图,然后利用水平、垂直投影技术,结合概率统计方法进行分析和判断,确定并分割出汽车牌照。

    The method employs information of the color image in HSV color space to construct a five-scale gray image , then locates and segments the vehicle license plate by analyzing and discriminating the statistic .

  6. 该算法首先将颜色空间从RGB转换到HSV,接着采用Soble边缘检测并结合垂直投影分析对车牌图像的有效区域进行精确提取。

    Firstly , this algorithm maps the color space from RGB to HSV , then it extracts the plate image part through Sobel Edge Detection method and analysis on its vertical projection .

  7. 在车牌定位时,使用行扫描法与垂直投影法完成车牌的水平和垂直定位,使用hough法对车牌进行校正。

    In the process of License Plate Location , line scan and vertical projection of the line scan are used to determine the horizontal and vertical region of license plate . And then , use hough to correct location of license plate .

  8. 浅谈语义的分割基于纹理分析和垂直投影的车牌定位算法

    Vehicle License Plate Segmentation Based on Texture Analysis and Vertical Projection

  9. 基于垂直投影特征的文档图像自动拼接算法

    An algorithm of document images automatic mosaic based on vertical judder character

  10. 最后进行水平和垂直投影处理,获得人脸侯选区域。

    Face area is gained by horizontal and vertical projection in binary image .

  11. 经过水平和垂直投影运算,定位出眼睛对、鼻子、嘴唇和双颊等重要的人脸图像特征;

    Then it 's easy to locate the features by the horizontal and vertical projective operation .

  12. 采用垂直投影法将识别作物行转换为求取作物行定位点坐标;

    Secondly , the recognition of crop rows was converted into achieving anchor points of crop rows .

  13. 建城区绿化覆盖面积是指城市绿化种植中的乔木、灌木、草坪等所有植被的垂直投影面积及水面之和,其中建成区范围内的耕地不统计在内。

    Green coverage is the area of all growing planting projection , including tree , shrub and grass .

  14. 但在第二级反馈中,该算法对经过预处理后的二值车牌图像的垂直投影进行小波变换。

    Feedback in the second stage , wavelet transform is used to the vertical projection of binary images .

  15. 使用直方图特征对车牌图像进行全局阈值分割,并结合垂直投影实现字符分割;(4)车牌字符识别技术。

    A method combined with global threshold segmentation and vertical projection on study of license plate character segmentation algorithm .

  16. 针对人脸器官的粗定位,将边缘检测后的图像分别进行水平及垂直投影;

    To the face location , the image after being detected is projected respectively to level and vertical direction ;

  17. 算法首先基于文本行边缘图垂直投影将文本行分割成单个字符。

    Second , we segment the text row into single character based on the vertical projection of edge map .

  18. 对人脸图像采用积分投影算法,分别进行水平和垂直投影,定位出人眼。

    Then , using integral projection algorithm respectively , the vertical and horizontal projection , located the eye . 2 .

  19. 根据车牌区域字符的纹理特征和统计规律,提出了一种综合纹理分析和垂直投影的车牌定位方法。

    Based upon the combination of texture analysis and gray scale vertical projection , a license plate segmentation algorithms is proposed .

  20. 在字符分割方面,作者采用二值图像垂直投影法与先验车牌知识相结合进行字符分割。

    About character divide , author uses 2 value image vertical projection methods with known plate knowledge to divide character apart .

  21. 最后,利用车牌的先验知识和车牌的垂直投影图设计分割算法,得到较好的分割效果。

    Finally , the histogram and prior knowledge of license plates are used to design segmentation algorithm to obtain good segmentation results .

  22. 具体包括以下内容:在综合分析了各种典型车牌定位算法后,提出一种基于水平垂直投影的车牌定位方法。

    It included contents as follows : A new algorithm of license plate location based on horizontal and vertical projection is proposed .

  23. 首先用边缘检测算子提取边缘信息并进行二值化处理,然后对其进行水平投影确定水平位置,再用形态学将车牌连成一个连通的区域,再进行垂直投影就得到了车牌的位置。

    We use edge features and mathematics morphology to locate the plate region . First edge information is used to get binary image .

  24. 在车牌字符分割阶段,考虑到车牌字符存在粘连的情况,给出了一种改进的垂直投影分割法,提高了字符分割的成功率。

    Secondly , in consideration of some character conglutination , an improved vertical projection method is proposed to increase the rate of character segmentation .

  25. 与传统的垂直投影算法相比,新算法能在保证重建准确度的前提下大幅度的提高收敛速度。

    And compared with traditional vertical projection algorithms , the novel simultaneous parallel projection can greatly accelerate the iterative process without losses of accuracy .

  26. 在字符的分割阶段,充分利用了车牌标准的先验性知识,在垂直投影的基础上将牌照分割成为单个字符;

    In the segmentation the paper makes the best of the license plate normal apriority knowledge , depending on vertical projection to segment single-character .

  27. 隐蔽信息的提取在图像域中进行,根据水平和垂直投影分别检测文字的行和单词之间的空格,恢复出原嵌入数据。

    In reception , jpg images are obtained from the pdf document , and the hidden data are extracted by detecting the spaces between words .

  28. 如果拟建锚固系统超出合同界线的垂直投影区,应取得邻近业主的许可。

    Obtain written permission from adjoining property owners if proposed systems of tie-back anchors will project beyond the vertical projection of the contract limit lines .

  29. 第四章对图像分割的各种方法及特点进行了讨论,实现了一种利用垂直投影信息结合先验知识约束的垂直分割方法。

    Chapter 4 discusses some basic principles of image segmentation , and segments characters of license plate by vertical projection information and the prior knowledge .

  30. 我们先利用脸部图像的垂直投影和水平投影对脸部器官进行了粗定位,然后通过一种快速的模板匹配算法进行了脸部器官(主要是眼睛和嘴巴)的精确定位。

    We roughly locate the organs using horizontal projection and vertical projection of the image , then we locate them exactly using a fast module-matching algorithm .