Description: 程序说明
总体功能：
本程序有2个功能。
1．对载入的二值图像提取边缘，并将边缘信息存入指定文本文件。
2．通过功能1中的文本文件在一个打开的pic图像中恢复边缘。
所需输入输出的数据文件：
1．输入一个二值图像，对其进行边缘提取，新建一个文本文件已存入边缘信息，输出此文本。
2．输入步骤2中的文本，通过文本文件输出恢复边缘。
运行方式：
1．打开一个待求二值图。
2．选取“边缘提取”，“轮廓提取”中的4连通或者8连通方法提取边缘。
3．对于已经提取边缘的图像，选取“边缘提取”，“轮廓跟踪”，将边缘信息写入文本文件。
4．新打开一个pic图像，选取“边缘提取”，“加载图像”，然后选取3中的文本文件，恢复边缘。
备注：本文件夹中一个图像跟一个相同名字的文本储存边缘点坐标信息。其中connect4, connect8分别存储4连通和8连-description of the procedures for the overall functions : the procedures are two functions. 1. Right enshrined in the Second Image Edge Extraction and edge information into the designated text files. 2. Through functional version of a document in an open pic edge image restoration. Required input and output data files : 1. Importation of a binary image, its edge extraction, a new text file deposited Edge Information, and the output text. 2. Step 2 importation of the text, through the text file output resume edge. Operation : 1. Seeking to open a binary image. 2. Selected "marginal extraction", "outline drawing of the" connectivity of 4 or 8 connectivity method for extracting edge. 3. Already at risk from the image, select the "marginal extraction", "conto Platform: |
Size: 132483 |
Author:王维杰 |
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Description: 程序说明
总体功能：
本程序有2个功能。
1．对载入的二值图像提取边缘，并将边缘信息存入指定文本文件。
2．通过功能1中的文本文件在一个打开的pic图像中恢复边缘。
所需输入输出的数据文件：
1．输入一个二值图像，对其进行边缘提取，新建一个文本文件已存入边缘信息，输出此文本。
2．输入步骤2中的文本，通过文本文件输出恢复边缘。
运行方式：
1．打开一个待求二值图。
2．选取“边缘提取”，“轮廓提取”中的4连通或者8连通方法提取边缘。
3．对于已经提取边缘的图像，选取“边缘提取”，“轮廓跟踪”，将边缘信息写入文本文件。
4．新打开一个pic图像，选取“边缘提取”，“加载图像”，然后选取3中的文本文件，恢复边缘。
备注：本文件夹中一个图像跟一个相同名字的文本储存边缘点坐标信息。其中connect4, connect8分别存储4连通和8连-description of the procedures for the overall functions : the procedures are two functions. 1. Right enshrined in the Second Image Edge Extraction and edge information into the designated text files. 2. Through functional version of a document in an open pic edge image restoration. Required input and output data files : 1. Importation of a binary image, its edge extraction, a new text file deposited Edge Information, and the output text. 2. Step 2 importation of the text, through the text file output resume edge. Operation : 1. Seeking to open a binary image. 2. Selected "marginal extraction", "outline drawing of the" connectivity of 4 or 8 connectivity method for extracting edge. 3. Already at risk from the image, select the "marginal extraction", "conto Platform: |
Size: 410624 |
Author:王维杰 |
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Description: 一个matlab做的图象处理程序.
P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数-A matlab to do the image processing procedures. P0801: Call Number text image segmentation P0802: adhesion character segmentation P0803: Character Recognition P0804: Segmentation of color plates P0805: text segmentation trademarks Recognition: Character Recognition Recognition Functions StrDetect01: Text Recognition Structural Feature Extraction Functions Platform: |
Size: 211968 |
Author:嘉川 |
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Description: 程序代码说明
索书号文字图像分割
粘连字符切分
文字识别
彩色车牌分割
商标文字分割
文字识别的识别子函数
文字识别的结构特征提取子函数
-Program code that call number text image segmentation adhesion character segmentation of license plate character recognition color segmentation segmentation trademark character recognition text recognition Functions character recognition feature extraction structure Functions Platform: |
Size: 223232 |
Author:刘 |
Hits:
Description: 程序代码包括：索书号文字图像分割,粘连字符切分,文字识别,彩色车牌分割,商标文字分割,文字识别的识别子函数,文字识别的结构特征提取子函数-Program code including: Call Number text image segmentation, adhesion character segmentation, character recognition, color plate segmentation, trade marks text segmentation, character recognition identification Functions, the structure of character recognition feature extraction Functions Platform: |
Size: 205824 |
Author:张子木 |
Hits:
Description: 程序代码说明
P0801：索书号文字图像分割
P0802：粘连字符切分
P0803：文字识别
P0804：彩色车牌分割
P0805：商标文字分割
Recognition：文字识别的识别子函数
StrDetect01：文字识别的结构特征提取子函数-Procedure Code Description P0801: Call Number text image segmentation P0802: adhesion character segmentation P0803: Character Recognition P0804: Segmentation of color plates P0805: text segmentation trademarks Recognition: Character Recognition Recognition Functions StrDetect01: the structure of character recognition feature extraction Functions Platform: |
Size: 220160 |
Author:肖伟 |
Hits:
Description: 对图像实现骨架化操作、提取边界、执行图像开运算度、增强图像对比度并提取文本图像中的某些字符对象。-Implementation of the image skeleton operation, extraction of the border, the implementation of open computing degree images to enhance image contrast and to extract the text of some of the characters in the image object。 Platform: |
Size: 1024 |
Author:fjdata |
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Description: DCT域中MPEG7主色描述符的提取,该文在MPEG7的基础上提出了DCT域内直接提取主色描述符的新方法.这种方法节省了
对图像的解压缩的过程，因而大大的提高了对于压缩图像进行特征提取的速度和效果.作为整个算法的一部
分，一种自动阂值提取的算法也在该文中给予了描述.这种方法可以减少因人为设定经验闭值而带来的不确
定性，使算法更具鲁棒性.对比检索试验结果也说明本算法是一个高速有效的算法.新算法主要用于压缩图
像库或互联网上的相似检索.
-DCT domain MPEG7 Dominant Color descriptor extraction, the article at the basis of MPEG7 proposed DCT domain directly from the main color of the new method descriptor. This method saves the image in the process of decompression, which greatly enhance the compressed image for feature extraction speed and effectiveness. as part of the whole algorithm, an automatic threshold algorithm for extracting the text is also given to the description. This method can reduce the threshold to set the experience brought about by non- uncertainty, so that a more robust algorithm. Comparison Search results also shows that the algorithm is a fast and effective algorithm. The new algorithm used to compress the image database or a similar search on the Internet. Platform: |
Size: 403456 |
Author:杨康 |
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Description: 提取二值图像中线条的坐标，并输出到文本中，快速简单。-Extraction of binary image in the coordinates of lines, and output to text, quick and simple. Platform: |
Size: 1024 |
Author:北科 |
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Description: 图片中的文字提取，包括图像二值化，图像归一化，图像大小压缩，图像细化等处理的C语言代码！有一定的注释，是不可多得的好资料，比较稀缺-Picture of text extraction, including image binarization, image normalization, image size compression, image thinning, such as the C language code to deal with! There are some notes, good information is hard to come by, more scarce! ! Platform: |
Size: 5120 |
Author:liguoyin |
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Description: 对文字笔画特征进行提取，可以对图像中的文本区域进行定位。-Stroke extraction of text features, you can image in the text area to locate. Platform: |
Size: 109568 |
Author:jack |
Hits:
Description: 整理图像特征点提取和分类的程序（可以作为场景分类的前期工作），自己调试过能运行，特征点提取用的SIFT算法，使用K-means聚类算法，将得到的20个聚类中心写入txt文本中-Finishing the image feature point extraction and classification procedures (which can be as the preparatory work of the scene classification), their own debugging can run the SIFT feature point extraction algorithm, using K-means clustering algorithm, the 20 cluster centers will be writteninto the txt textcluster centers will be written to the txt text Platform: |
Size: 5055488 |
Author:木易 |
Hits:
Description: 基于中心投影的不变特征提取，方法较新，使用的范围还不是很广，对二值图像和文字比较有用-Invariant feature extraction, based on the central projection of the newer methods, the use of the range is not very wide, more useful to the binary image and text Platform: |
Size: 3565568 |
Author:帅 |
Hits:
Description: In Year 2011, Sankirti S. performed a work," Video OCR for Video Indexing". Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important. Accurate binarization process minimizes the error rate of video OCR.-In Year 2011, Sankirti S. performed a work," Video OCR for Video Indexing". Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important. Accurate binarization process minimizes the error rate of video OCR. Platform: |
Size: 439296 |
Author:payal |
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Description: VC++ 实现图像中的文字提取，很好的实现了图像文字的提取功能。-VC++ extracted from the text in the image to achieve a good image text extraction function. Platform: |
Size: 121856 |
Author:jacalynliu |
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Description: 图像修复是指恢复图像中破损区域的颜色信息或者去除图像中的多余物体。针对视频图像损坏特征中较复杂的水
平与垂直条带，利用视频图像时间连续性的特点，提出基于小波分析理论的修复方法。实验结果表明，该系统能够较好地恢复
视频图像和有效去除文字。
-Image inpainting refers to restore the color information of the damaged region in the image or remove the
unnecessary object in the image. A method is introduced to compute the main direction of the texture and complete
the image based on wavelet transform. The core of the algorithm relies on using texture detection in a coarse-to-fine
scheme. Experimental results show that the algorithm can obtain the satisfied restoration video frames.
【Key words】video frame restoration wavelet transform video processing text extraction Platform: |
Size: 5686272 |
Author:孙红娟 |
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Description: The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
-The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
Platform: |
Size: 41984 |
Author:Lee Kurian |
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Description: The basic steps of the edge-based text extraction algorithm are given below
1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel
and successively down-sample each direction by half. (Levels: 4)
2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations.
3. Convolve each image in the Gaussian pyramid with each orientation filter.
4. Combine the results of step 3 to create the Feature Map.
5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1])
to cluster candidate text regions together.
6. Create final output image with text in white pixels against a plain black
background. Platform: |
Size: 2048 |
Author:Lee Kurian |
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Description: 图形文字提取，根据特征把图片中的文字提取出来保存为文本。-Graphic text extraction, according to the characteristics of the text extracted the image to save as text. Platform: |
Size: 2958336 |
Author:jason |
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Search - image to text extraction