VB6之图像灰度与二值化
老代码备忘,我对图像处理不是太懂。
注:部分代码引援自网上,话说我到底自己写过什么代码。。。
Private Declare Function GetBitmapBits Lib "gdi32" (ByVal hbitmap As Long, _
ByVal dwCount As Long, _
lpBits As Any) As Long
Private Declare Function SetBitmapBits Lib "gdi32" (ByVal hbitmap As Long, _
ByVal dwCount As Long, _
lpBits As Any) As Long
Private Declare Function GetDIBits Lib "gdi32" (ByVal aHDC As Long, _
ByVal hbitmap As Long, _
ByVal nStartScan As Long, _
ByVal nNumScans As Long, _
lpBits As Any, _
lpBI As BitMapInfo, _
ByVal wUsage As Long) As Long
Private Declare Function SetDIBits Lib "gdi32" (ByVal hdc As Long, _
ByVal hbitmap As Long, _
ByVal nStartScan As Long, _
ByVal nNumScans As Long, _
lpBits As Any, _
lpBI As BitMapInfo, _
ByVal wUsage As Long) As Long
Private Declare Function SelectObject Lib "gdi32" (ByVal hdc As Long, _
ByVal hObject As Long) As Long
Private Declare Function CreateDC Lib "gdi32" Alias "CreateDCA" (ByVal lpDriverName As String, _
ByVal lpDeviceName As String, _
ByVal lpOutput As String, _
lpInitData As Long) As Long
Private Declare Function DeleteDC Lib "gdi32" (ByVal hdc As Long) As Long Private Type BitMapInfoHeader
biSize As Long
biWidth As Long
biHeight As Long
biPlanes As Integer
biBitCount As Integer
biCompression As Long
biSizeImage As Long
biXPelsPerMeter As Long
biYPelsPerMeter As Long
biClrUsed As Long
biClrImportant As Long
End Type Private Type RGBQuad
rgbBlue As Byte
rgbGreen As Byte
rgbRed As Byte
''rgbReserved As Byte
End Type Private Type BitMapInfo
bmiHeader As BitMapInfoHeader
bmiColors As RGBQuad
End Type Private Sub Command1_Click()
Dim pic As StdPicture
Set pic = LoadPicture("D:\My Documents\Downloads\119562132_21n.jpg") Dim w As Long
Dim h As Long
With pic
w = ScaleX(.Width, vbHimetric, vbPixels)
h = ScaleY(.Height, vbHimetric, vbPixels)
End With Dim hdc As Long
hdc = CreateDC("DISPLAY", vbNullString, vbNullString, &)
Call SelectObject(hdc, pic.Handle) Dim bits() As Byte
ReDim bits(, w, h) As Byte
Dim bi As BitMapInfo
With bi.bmiHeader
.biBitCount = &
.biCompression = &
.biPlanes = &
.biSize = Len(bi.bmiHeader)
.biWidth = w
.biHeight = h
End With
Call GetDIBits(hdc, pic.Handle, , h, bits(, , ), bi, &) '灰度化
Dim x As Long
Dim y As Long
Dim g As Byte
For x = To w
For y = To h
'灰度公式:Gray=R×0.299+G×0.587+B×0.114
'貌似有更好的方案:g=(bits(0, ix, iy) ^ 2.2 * 0.0722 + bits(1, ix, iy) ^ 2.2 * 0.7152 + bits(2, ix, iy) ^ 2.2 * 0.2126) ^ (1 / 2.2)
'不过,肉眼看不出差别来 (>_<)
g = bits(, x, y) * 0.114 + bits(, x, y) * 0.587 + bits(, x, y) * 0.299
bits(, x, y) = g
bits(, x, y) = g
bits(, x, y) = g
Next
Next Picture1.Picture = Picture1.Image
Call SetDIBits(Picture1.hdc, Picture1.Picture.Handle, &, h, bits(, , ), bi, &)
Picture1.Picture = Picture1.Image Dim threshold As Byte
threshold = GetThreshold(bits, w, h) '二值化,阈值通过[最大类间方差法(Otsu)]取得
For x = To w
For y = To h
If bits(, x, y) > threshold Then
bits(, x, y) =
bits(, x, y) =
bits(, x, y) =
Else
bits(, x, y) =
bits(, x, y) =
bits(, x, y) =
End If
Next
Next Picture2.Picture = Picture2.Image
Call SetDIBits(Picture2.hdc, Picture2.Picture.Handle, &, h, bits(, , ), bi, &)
Picture2.Picture = Picture2.Image Erase bits
Call DeleteDC(hdc)
Set pic = Nothing
End Sub Private Function GetThreshold(ByRef Pixels() As Byte, _
ByVal Width As Long, _
ByVal Height As Long) As Byte
'最大类间方差法(Otsu)
'这个函数是我根据百度文库一个文档里提供的C代码翻译过来的
'@http://wenku.baidu.com/link?url=wVl9A7eZiRddxpaCPPLcAIb-VDlyrV__-Zfw6j6o50FEUochgV9G_zRVsMHVDxN2ilOUXiRbSSM-as_ELJpjxnWEvERlABlvVoVK6-FDQpW
Dim hist() As Long
Dim x As Long
Dim y As Long
Dim i As Long For i = To : hist(i) = : Next
For y = To Height
For x = To Width
hist(Pixels(, x, y)) = hist(Pixels(, x, y)) +
Next
Next Dim p() As Double
Dim ut As Double
Dim uk As Double
Dim sigma As Double
Dim mk As Double
Dim maxk As Byte
Dim maxs As Double
Dim total As Long
Dim EPSTLON As Double
EPSILON = 0.000001 '10 ^ -6 total = Width * Height
ut =
For i = To
p(i) = hist(i) / total
ut = ut + i * hist(i)
Next
ut = ut / total
wk =
uk =
maxs =
For i = To
uk = uk + i * p(i)
wk = wk + p(i)
If wk <= EPSTLON Or wk >= (# - EPSTLON) Then
Else
sigma = (ut * wk - uk)
sigma = (sigma * sigma) / (wk * (# - wk))
If sigma > maxs Then
maxs = sigma
maxk = i
End If
End If
Next
GetThreshold = maxk
End Function
上张图,看看效果:

原图:

VB6之图像灰度与二值化的更多相关文章
- [iOS OpenCV的使用,灰度和二值化]
看网上方法很多,但版本都不够新,我看了网上一些知识,总结了下,来个最新版Xcode6.1的. 最近主要想做iOS端的车牌识别,所以开始了解OpenCV.有兴趣的可以跟我交流下哈. 一.Opencv的使 ...
- OpenCV:图像的普通二值化
首先我们来看看图像二值化的过程,opencv一共有好几种不同的二值化算法可以使用,一般来说图像的像素,亮度等条件如果超过了某个或者低于了某个阈值,就会恒等于某个值,可以用于某些物体轮廓的监测: 导包: ...
- opencv-python图像二值化函数cv2.threshold函数详解及参数cv2.THRESH_OTSU使用
cv2.threshold()函数的作用是将一幅灰度图二值化,基本用法如下: #ret:暂时就认为是设定的thresh阈值,mask:二值化的图像 ret,mask = cv2.threshold(i ...
- openCV_java 图像二值化
较为常用的图像二值化方法有:1)全局固定阈值:2)局部自适应阈值:3)OTSU等. 局部自适应阈值则是根据像素的邻域块的像素值分布来确定该像素位置上的二值化阈值.这样做的好处在于每个像素位置处的二值化 ...
- OpenCV_基于局部自适应阈值的图像二值化
在图像处理应用中二值化操作是一个很常用的处理方式,例如零器件图片的处理.文本图片和验证码图片中字符的提取.车牌识别中的字符分割,以及视频图像中的运动目标检测中的前景分割,等等. 较为常用的图像二值化方 ...
- 【转】Emgu CV on C# (五) —— Emgu CV on 局部自适应阈值二值化
局部自适应阈值二值化 相对全局阈值二值化,自然就有局部自适应阈值二值化,本文利用Emgu CV实现局部自适应阈值二值化算法,并通过调节block大小,实现图像的边缘检测. 一.理论概述(转载自< ...
- [转载+原创]Emgu CV on C# (五) —— Emgu CV on 局部自适应阈值二值化
局部自适应阈值二值化 相对全局阈值二值化,自然就有局部自适应阈值二值化,本文利用Emgu CV实现局部自适应阈值二值化算法,并通过调节block大小,实现图像的边缘检测. 一.理论概述(转载自< ...
- Opencv实现图像的灰度处理,二值化,阀值选择
前几天接触了图像的处理,发现用OPencv处理确实比較方便.毕竟是非常多东西都封装好的.可是要研究里面的东西,还是比較麻烦的,首先,你得知道图片处理的一些知识,比方腐蚀,膨胀,仿射,透射等,还有非常多 ...
- Java基于opencv实现图像数字识别(三)—灰度化和二值化
Java基于opencv实现图像数字识别(三)-灰度化和二值化 一.灰度化 灰度化:在RGB模型中,如果R=G=B时,则彩色表示灰度颜色,其中R=G=B的值叫灰度值:因此,灰度图像每个像素点只需一个字 ...
随机推荐
- 3、J2EE学习推荐书籍
3.J2EE学习推荐书籍 J2EE的学习应该循序渐进,一本好书会很快上手和深入.在学习J2EE之前,应该学好SQL,基本上,程序设计都会跟数据库打交道.如果SQL没学好,就如同房子没有基脚 ...
- First release of mlrMBO - the toolbox for (Bayesian) Black-Box Optimization
We are happy to finally announce the first release of mlrMBO on cran after a quite long development ...
- Workout Wednesday Redux (2017 Week 3)
I had started a "52 Vis" initiative back in 2016 to encourage folks to get practice making ...
- R语言&页游渠道分析(转)
对着满屏的游戏后台数据,需要快速了解数据特征,一种茫然无从下手的感觉? 本文在游戏后台数据中,如何通过R语言快速的了解游戏后台的数据特征,以及统计各个数据之间的相关系数,并通过相关图来发现其中相关系数 ...
- log4j之log4j2.xml使用
依赖jar包 log4j-api-2.6.2.jar log4j-core-2.6.2.jar log4j-slf4j-impl-2.6.2.jar slf4j-api-1.7.12.jar 在res ...
- ECS_8080端口连接拒绝问题排查
原文链接 用户ECS网络设置 上图是用户ECS的网络示意图: ecs处于vpc网络下 ecs加入了一个安全组,该安全组出入方向均开放8080端口 ecs有两个网卡,一个私网主网卡(有虚线的网卡),一个 ...
- 原生js实现图片网格式渐显、渐隐效果
写正文前先吐槽一下:端午放假完第一天去某千人以上公司面试前端工程师,第一轮是我应聘职位的部门小领导,谈的不错,面试主要围绕要用到的技术来:第二轮来了我要说的正主,我了个去,问的问题一个和前端无关,问我 ...
- 微信小程序开发《二》:http请求的session管理
作为一个开发JavaWeb应用的程序猿,都喜欢将用户登录后的用户信息(比如说用户id,用户名称)放入session中保存,之后在业务逻辑的开发中需要用到用户信息的时候就可以轻松又方便的从session ...
- (原创)Python 自动化测试框架详解
自己折腾了一个python的自动化测试框架,梳理了一下流程,简单分享一下. 项目背景 B/S架构,进行用户界面的自动化测试 工具选择 python开发的自动化测试框架,足够灵活,可以随时根据需求进行变 ...
- thphp5.0学习笔记(一)
1.目录结构: 其中thinkphp子目录是框架核心目录 thinkphp结构: 2.入口文件 默认自带的入口文件位于public/index.php 应用目录为application,其结构: in ...