Quant (bus-all 5.6.5 API)

java.lang.Object
- org.aoju.bus.extra.captcha.Quant

```
public class Quant
extends Object
```
Since:

JDK 1.8+

Version:

5.6.5

Author:

Kimi Liu

Field Summary

Fields
Modifier and Type	Field and Description
`protected static int`	`alphabiasshift` alpha值从1.0开始
`protected int`	`alphadec` 偏移10位
`protected static int`	`alpharadbias`
`protected static int`	`alpharadbshift`
`protected static int`	`beta`
`protected static int`	`betagamma`
`protected static int`	`betashift`
`protected int[]`	`bias`
`protected int[]`	`freq` 基本偏差和频率阵列
`protected static int`	`gamma`
`protected static int`	`gammashift`
`protected static int`	`initalpha`
`protected static int`	`initrad` 256颜色，半径开始
`protected static int`	`initradius`
`protected static int`	`intbias`
`protected static int`	`intbiasshift`
`protected int`	`lengthcount` engthcount = H * W * 3
`protected static int`	`maxnetpos`
`protected static int`	`minpicturebytes`
`protected static int`	`ncycles`
`protected static int`	`netbiasshift`
`protected int[]`	`netindex` 用于网络查找——实际上是256
`protected static int`	`netsize` 所用颜色数
`protected int[][]`	`network` 网络本身- [netsize][4]
`protected static int`	`prime1` 4个接近500的质数——假设没有一幅图像的长度大到可以被所有4个质数整除
`protected static int`	`prime2`
`protected static int`	`prime3`
`protected static int`	`prime4`
`protected static int`	`radbias`
`protected static int`	`radbiasshift` radbias和alpharadbias用于radpower计算
`protected static int`	`radiusbias`
`protected static int`	`radiusbiasshift` 在32.0偏置6位
`protected static int`	`radiusdec` 每循环1/30
`protected int[]`	`radpower`
`protected int`	`samplefac` 1 .
`protected byte[]`	`thepicture` 输入图像本身

Constructor Summary

Constructors
Constructor and Description

Quant(byte[] thepic, int len, int sample)
初始化网络的范围(0,0,0)到(255,255,255)，并设置参数

Constructors
Constructor and Description
`Quant(byte[] thepic, int len, int sample)` 初始化网络的范围(0,0,0)到(255,255,255)，并设置参数

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`protected void`	`alterneigh(int rad, int i, int b, int g, int r)` 通过radpower[\|i-j\|]中预先计算的alpha*(1-(((i-j)^2/[r]^2))移动相邻神经元
`protected void`	`altersingle(int alpha, int i, int b, int g, int r)` 通过因子将神经元i向偏置(b,g,r)移动
`byte[]`	`colorMap()`
`protected int`	`contest(int b, int g, int r)` 搜索有偏差的BGR值
`void`	`inxbuild()` 网络的插入排序与netindex的建立[0..]255](在无偏移之后做)
`void`	`learn()`
`int`	`map(int b, int g, int r)` 搜索BGR值0..255(经过净是无偏的)和返回颜色指数
`byte[]`	`process()`
`void`	`unbiasnet()` 无偏见网络给字节值0..并记录位置i，为排序做准备

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - netsize
```
protected static final int netsize
```
    所用颜色数
    
    See Also:
    
    Constant Field Values
  - prime1
```
protected static final int prime1
```
    4个接近500的质数——假设没有一幅图像的长度大到可以被所有4个质数整除
    
    See Also:
    
    Constant Field Values
  - prime2
```
protected static final int prime2
```
    See Also:
    
    Constant Field Values
  - prime3
```
protected static final int prime3
```
    See Also:
    
    Constant Field Values
  - prime4
```
protected static final int prime4
```
    See Also:
    
    Constant Field Values
  - minpicturebytes
```
protected static final int minpicturebytes
```
    See Also:
    
    Constant Field Values
  - maxnetpos
```
protected static final int maxnetpos
```
    See Also:
    
    Constant Field Values
  - netbiasshift
```
protected static final int netbiasshift
```
    See Also:
    
    Constant Field Values
  - ncycles
```
protected static final int ncycles
```
    See Also:
    
    Constant Field Values
  - intbiasshift
```
protected static final int intbiasshift
```
    See Also:
    
    Constant Field Values
  - intbias
```
protected static final int intbias
```
    See Also:
    
    Constant Field Values
  - gammashift
```
protected static final int gammashift
```
    See Also:
    
    Constant Field Values
  - gamma
```
protected static final int gamma
```
    See Also:
    
    Constant Field Values
  - betashift
```
protected static final int betashift
```
    See Also:
    
    Constant Field Values
  - beta
```
protected static final int beta
```
    See Also:
    
    Constant Field Values
  - betagamma
```
protected static final int betagamma
```
    See Also:
    
    Constant Field Values
  - initrad
```
protected static final int initrad
```
    256颜色，半径开始
    
    See Also:
    
    Constant Field Values
  - radiusbiasshift
```
protected static final int radiusbiasshift
```
    在32.0偏置6位
    
    See Also:
    
    Constant Field Values
  - radiusbias
```
protected static final int radiusbias
```
    See Also:
    
    Constant Field Values
  - initradius
```
protected static final int initradius
```
    See Also:
    
    Constant Field Values
  - radiusdec
```
protected static final int radiusdec
```
    每循环1/30
    
    See Also:
    
    Constant Field Values
  - alphabiasshift
```
protected static final int alphabiasshift
```
    alpha值从1.0开始
    
    See Also:
    
    Constant Field Values
  - initalpha
```
protected static final int initalpha
```
    See Also:
    
    Constant Field Values
  - radbiasshift
```
protected static final int radbiasshift
```
    radbias和alpharadbias用于radpower计算
    
    See Also:
    
    Constant Field Values
  - radbias
```
protected static final int radbias
```
    See Also:
    
    Constant Field Values
  - alpharadbshift
```
protected static final int alpharadbshift
```
    See Also:
    
    Constant Field Values
  - alpharadbias
```
protected static final int alpharadbias
```
    See Also:
    
    Constant Field Values
  - alphadec
```
protected int alphadec
```
    偏移10位
  - thepicture
```
protected byte[] thepicture
```
    输入图像本身
  - lengthcount
```
protected int lengthcount
```
    engthcount = H * W * 3
  - samplefac
```
protected int samplefac
```
    1 . . 30采样因素
  - network
```
protected int[][] network
```
    网络本身- [netsize][4]
  - netindex
```
protected int[] netindex
```
    用于网络查找——实际上是256
  - bias
```
protected int[] bias
```
  - freq
```
protected int[] freq
```
    基本偏差和频率阵列
  - radpower
```
protected int[] radpower
```
- Constructor Detail
  - Quant
```
public Quant(byte[] thepic,
             int len,
             int sample)
```
    初始化网络的范围(0,0,0)到(255,255,255)，并设置参数
    
    Parameters:
    
    thepic - 图片
    
    len - 长度
    
    sample - 样品
- Method Detail
  - colorMap
```
public byte[] colorMap()
```
  - inxbuild
```
public void inxbuild()
```
    网络的插入排序与netindex的建立[0..]255](在无偏移之后做)
  - learn
```
public void learn()
```
  - map
```
public int map(int b,
               int g,
               int r)
```
    搜索BGR值0..255(经过净是无偏的)和返回颜色指数
    
    Parameters:
    
    b - 蓝
    
    g - 绿
    
    r - 红
    
    Returns:
    
    the int
  - process
```
public byte[] process()
```
  - unbiasnet
```
public void unbiasnet()
```
    无偏见网络给字节值0..并记录位置i，为排序做准备
  - alterneigh
```
protected void alterneigh(int rad,
                          int i,
                          int b,
                          int g,
                          int r)
```
    通过radpower[|i-j|]中预先计算的alpha*(1-(((i-j)^2/[r]^2))移动相邻神经元
    
    Parameters:
    
    rad - 弧度
    
    i - 偏移量
    
    b - 蓝
    
    g - 绿
    
    r - 红
  - altersingle
```
protected void altersingle(int alpha,
                           int i,
                           int b,
                           int g,
                           int r)
```
    通过因子将神经元i向偏置(b,g,r)移动
    
    Parameters:
    
    alpha - 开端
    
    i - 偏移量
    
    b - 蓝
    
    g - 绿
    
    r - 红
  - contest
```
protected int contest(int b,
                      int g,
                      int r)
```
    搜索有偏差的BGR值
    
    Parameters:
    
    b - 蓝
    
    g - 绿
    
    r - 红
    
    Returns:
    
    BGR值

Class Quant

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

netsize

prime1

prime2

prime3

prime4

minpicturebytes

maxnetpos

netbiasshift

ncycles

intbiasshift

intbias

gammashift

gamma

betashift

beta

betagamma

initrad

radiusbiasshift

radiusbias

initradius

radiusdec

alphabiasshift

initalpha

radbiasshift

radbias

alpharadbshift

alpharadbias

alphadec

thepicture

lengthcount

samplefac

network

netindex

bias

freq

radpower

Constructor Detail

Quant

Method Detail

colorMap

inxbuild

learn

map

process

unbiasnet

alterneigh

altersingle

contest