Description: 思路简要说明：
1、图像二值化
将图片中的各点用0或1表示，1为有效点，0为背景。这里使用的是最大类间方差法
（otsu），在资料中有介绍。
2、去除干扰点
3、分割
将整个的图片分为每个单独的字，在下一步中才能一一识别。
4、与样本库进行对比，寻求最近似匹配
这步是比较核心的地方，由于要识别的图形每次都是随机变化的，我们不能进行完
全匹配识别，所以使用的是‘欧氏距离’来进行最近似匹配，资料中的《自由手写体
数字识别》里面有详细说明。
（样本库文件是按照匹配的特征通过事先编写的程序进行学习得到的）
该识别思路对目前很多验证码有效，识别速度快，正确率基本还可以（在一定程度内
样本量越大正确率越高），不能识别的情况也不少，比如字符粘连，导致程序无法正确
分割，从而识别失败，有朋友介绍神经网络识别方法不错，有空一定要学习下。-A brief description of ideas:
1, image binarization
Pictures of all the points expressed by 0 or 1, 1 for the effective point, 0 for background. Used here is the largest between-class variance
(Otsu), are introduced in the data.
2, removal of interference points
3, partition
The whole picture is divided into each individual character, in the next step in order to identify 11.
4, compared with the sample database, the search might match the recent
This step is to compare the core places, due to the recognition of each of the graphics changes are random, we can not be finished
Identification of the entire match, so the use of the Euclidean distance to be like the recent match, the information in the "free handwritten
Digital Identification, "which is described in detail.
(Sample library features in accordance with the matching pre-prepared through the process of learning to be)
The identification of a lot of ide Platform: |
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Author:yangq |
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Description: 在毕业设计文件的文件夹中，主要介绍了在delphi中，利用各种不同的算法来实现建立在位图上的不同效果，其中主要介绍的有曝光、浮雕、马赛克、模糊、锐化、添加杂色、喷溅、霓虹、90度旋转、水平翻转、垂直翻转。另外还做了当步撤销和图像的缩放，还有简单的jpg，bmp的格式转换。
在chap1文件夹中，有关于图像格式转换，图像浏览器等的源程序。在chap2文件夹包括灰度直方图，二值化，对比度等的源程序。在chap3文件夹中，有关于几何变换的源程序。在chap4文件夹中，有关于通道，颜色调节，颜色混合等的源程序。在chap5文件夹中，有灰度线性，中值滤波，灰度拉伸等的源程序-Graduation project file folder in delphi, using a variety of different algorithms to achieve different effects on the bitmap, which introduces the exposure, relief, mosaic, blur, sharpen, add variegated, splash, neon, 90 degree rotate, Flip Horizontal, Flip Vertical. Also made a step undo and image scaling, simple jpg, bmp format conversion. Of folder chap1 image format conversion, image browser, such as source code. Chap2 file folder, including the histogram, binarization, the source of contrast. Of folder chap3 geometric transformation of the source. Of folder chap4 source on the channel, color adjustment, color mixing, etc.. Linear gray scale median filtering, gray stretch of the source folder chap5 Platform: |
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Author:谭学敏 |
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Description: Delphi源码做的库，实现在打开，二值化，对图像的腐蚀，膨胀，轮廓提取等效果-Delphi source do library, realize in the open, binarization, the image of the corrosion, inflation, contour extraction effect
Platform: |
Size: 31744 |
Author:blub |
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Description: Delphi 二值化图像的源码，不使用控件，用D7就可直接编译了.-Delphi binarization image source instance, do not use the controls with D7 can be compiled directly. Platform: |
Size: 6144 |
Author:Fan |
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Description: delphi验证码识别学习之图像的灰度化、二值化及反色 ,本文的方法同时适用于GDI+图像和Delphi的TGraphic图像。
-delphi image verification code recognition learning of graying, binarization and anti-color, method of this article apply to both GDI+ image and TGraphic image of Delphi. Platform: |
Size: 226304 |
Author:风清扬 |
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Description: Delphi:Delphi 二值化图像的源码实例，将网上的一些代码收集了过来，重新编写了这个基于Delphi源码的图像二值化实例程序，不使用控件，用D7就可直接编译了，运行效果如上图所示，可能还有些过度，图像稍显粗糙，仅供参考吧。
-Delphi: Delphi source code examples, binary image with some of the code over the Internet to collect and re-write this based Delphi source image binarization examples of programs that do not use the controls, can be directly compiled with D7, operating results as shown below, may also overdone, slightly rough image for reference it. Platform: |
Size: 6144 |
Author:3AT2GUS |
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Description: Delphi7 写的 QRCode识别的源代码，可直接编译运行。 能识别中文，附带2张测试的二维码图片可测试。 识别率很低，学习下还可以的。 包含了图像处理的一些东西如：灰度化、二值化、定位等。 支持UTF8格式的中文。(The source code of QRCode recognized by Delphi 7 can be compiled and run directly. It can recognize Chinese, and 2-D code pictures with 2 tests can be tested. Recognition rate is very low, and it can be learned. It includes some things of image processing, such as graying, binarization, positioning and so on. Support Chinese in UTF8 format.) Platform: |
Size: 36864 |
Author:老虎_80919 |
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Search - binarization delphi