Package cn.net.pap.common.boofcv

Class BoofcvUtil

java.lang.Object

cn.net.pap.common.boofcv.BoofcvUtil

public class BoofcvUtil
extends Object

Constructor Summary

Constructors

Constructor	Description
BoofcvUtil()

Method Summary

Modifier and Type	Method	Description
static BufferedImage	adjustBrightness(BufferedImage input, float brightness)	亮度
static BufferedImage	adjustBrightness2(BufferedImage input, float brightness)	亮度 并行
static BufferedImage	adjustContrast(BufferedImage input, float contrast)	对比度
static BufferedImage	adjustContrast2(BufferedImage input, float contrast)	对比度 并行
static BufferedImage	adjustTwo(BufferedImage input, float brightness, float contrast)	同时调整亮度和对比度
static BufferedImage	crop(BufferedImage input, Integer x, Integer y, Integer width, Integer height)	裁剪
static String	getBase64(BufferedImage image, String type)	BufferedImage to Base64

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

BoofcvUtil

public BoofcvUtil()

Method Details

adjustBrightness

public static BufferedImage adjustBrightness(BufferedImage input,
 float brightness)

亮度

Parameters:

input -

brightness - >0增加亮度， <0减少亮度

Returns:

adjustBrightness2

public static BufferedImage adjustBrightness2(BufferedImage input,
 float brightness)

亮度 并行

Parameters:

input -

brightness -

Returns:

adjustContrast

public static BufferedImage adjustContrast(BufferedImage input,
 float contrast)

对比度

Parameters:

input -

contrast - ==1无变化， >1增加对比度，<1减少对比度

Returns:

adjustContrast2

public static BufferedImage adjustContrast2(BufferedImage input,
 float contrast)

对比度 并行

Parameters:

input -

contrast -

Returns:

adjustTwo

public static BufferedImage adjustTwo(BufferedImage input,
 float brightness,
 float contrast)

同时调整亮度和对比度

Parameters:

input -

brightness - brightness 参数可以平滑地控制图像的亮度，从完全变黑（-1）到正常亮度（0），再到完全变白（1）

contrast - contrast 参数的有效范围应该是 -255 到 255（不包括 259），因为当 contrast 为 -255 时，因子 factor 将变为 0，这将导致图像变黑；而当 contrast 接近 259 时，因子 factor 将趋向于无穷大，这可能导致图像过曝或完全变白。

Returns:

crop

public static BufferedImage crop(BufferedImage input,
 Integer x,
 Integer y,
 Integer width,
 Integer height)

裁剪

Parameters:

input -

x -

y -

width -

height -

Returns:

getBase64

public static String getBase64(BufferedImage image,
 String type)

BufferedImage to Base64

Parameters:

image -

type -

Returns: