f7a13682
 “wangming”
项目初始化
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package etelligens.com.foodsafety.utils;
import android.graphics.*;
import android.graphics.Bitmap.Config;
/**
* 图片工具类
* @author Administrator
*
*/
public class BitmapTool {
public static Bitmap resizeImage(Bitmap bitmap, int w, int h) {
Bitmap BitmapOrg = bitmap;
int width = BitmapOrg.getWidth();
int height = BitmapOrg.getHeight();
int newWidth = w;
float scaleWidth = ((float) newWidth) / width;
Matrix matrix = new Matrix();
matrix.postScale(scaleWidth, scaleWidth);
Bitmap resizedBitmap = Bitmap.createBitmap(BitmapOrg, 0, 0, width,
height, matrix, true);
return resizedBitmap;
}
public static Bitmap convertToBlackWhite(Bitmap bmp) {
int width = bmp.getWidth(); // 获取位图的宽
int height = bmp.getHeight(); // 获取位图的高
int[] pixels = new int[width * height]; // 通过位图的大小创建像素点数组
byte b;
bmp.getPixels(pixels, 0, width, 0, 0, width, height);
int alpha = 0xFF << 24;
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
int grey = pixels[width * i + j];
int red = ((grey & 0x00FF0000) >> 16);
int green = ((grey & 0x0000FF00) >> 8);
int blue = (grey & 0x000000FF);
grey = (int) (red * 0.3 + green * 0.59 + blue * 0.11);
//grey = alpha | (grey << 16) | (grey << 8) | grey;
if ( grey < 128 ){
b = 1;
} else {
b = 0;
}
//pixels[width * i + j] = grey;
pixels[width * i + j] = b;
}
}
Bitmap newBmp = Bitmap.createBitmap(width, height, Config.RGB_565);
newBmp.setPixels(pixels, 0, width, 0, 0, width, height);
return newBmp;
}
public static Bitmap bitmap2Gray(Bitmap bmSrc) {
// 得到图片的长和宽
int width = bmSrc.getWidth();
int height = bmSrc.getHeight();
// 创建目标灰度图像
Bitmap bmpGray = null;
bmpGray = Bitmap.createBitmap(width, height, Config.RGB_565);
// 创建画布
Canvas c = new Canvas(bmpGray);
Paint paint = new Paint();
ColorMatrix cm = new ColorMatrix();
cm.setSaturation(0);
ColorMatrixColorFilter f = new ColorMatrixColorFilter(cm);
paint.setColorFilter(f);
c.drawBitmap(bmSrc, 0, 0, paint);
return bmpGray;
}
// 该函数实现对图像进行二值化处理
public static Bitmap gray2Binary(Bitmap graymap) {
//得到图形的宽度和长度
int width = graymap.getWidth();
int height = graymap.getHeight();
//创建二值化图像
Bitmap binarymap = null;
binarymap = graymap.copy(Config.ARGB_8888, true);
//依次循环，对图像的像素进行处理
for (int i = 0; i < width; i++) {
for (int j = 0; j < height; j++) {
//得到当前像素的值
int col = binarymap.getPixel(i, j);
//得到alpha通道的值
int alpha = col & 0xFF000000;
//得到图像的像素RGB的值
int red = (col & 0x00FF0000) >> 16;
int green = (col & 0x0000FF00) >> 8;
int blue = (col & 0x000000FF);
// 用公式X = 0.3×R+0.59×G+0.11×B计算出X代替原来的RGB
int gray = (int) ((float) red * 0.3 + (float) green * 0.59 + (float) blue * 0.11);
//对图像进行二值化处理
if (gray <= 95) {
gray = 0;
} else {
gray = 255;
}
// 新的ARGB
int newColor = alpha | (gray << 16) | (gray << 8) | gray;
//设置新图像的当前像素值
binarymap.setPixel(i, j, newColor);
}
}
return binarymap;
}
public static Bitmap binarization(Bitmap img) {
int width = img.getWidth();
int height = img.getHeight();
int area = width * height;
int gray[][] = new int[width][height];
int average = 0;// 灰度平均值
int graysum = 0;
int graymean = 0;
int grayfrontmean = 0;
int graybackmean = 0;
int pixelGray;
int front = 0;
int back = 0;
int[] pix = new int[width * height];
img.getPixels(pix, 0, width, 0, 0, width, height);
for (int i = 1; i < width; i++) { // 不算边界行和列，为避免越界
for (int j = 1; j < height; j++) {
int x = j * width + i;
int r = (pix[x] >> 16) & 0xff;
int g = (pix[x] >> 8) & 0xff;
int b = pix[x] & 0xff;
pixelGray = (int) (0.3 * r + 0.59 * g + 0.11 * b);// 计算每个坐标点的灰度
gray[i][j] = (pixelGray << 16) + (pixelGray << 8) + (pixelGray);
graysum += pixelGray;
}
}
graymean = (int) (graysum / area);// 整个图的灰度平均值
average = graymean;
//Log.i(TAG,"Average:"+average);
for (int i = 0; i < width; i++) // 计算整个图的二值化阈值
{
for (int j = 0; j < height; j++) {
if (((gray[i][j]) & (0x0000ff)) < graymean) {
graybackmean += ((gray[i][j]) & (0x0000ff));
back++;
} else {
grayfrontmean += ((gray[i][j]) & (0x0000ff));
front++;
}
}
}
int frontvalue = (int) (grayfrontmean / front);// 前景中心
int backvalue = (int) (graybackmean / back);// 背景中心
float G[] = new float[frontvalue - backvalue + 1];// 方差数组
int s = 0;
//Log.i(TAG,"Front:"+front+"**Frontvalue:"+frontvalue+"**Backvalue:"+backvalue);
for (int i1 = backvalue; i1 < frontvalue + 1; i1++)// 以前景中心和背景中心为区间采用大津法算法（OTSU算法）
{
back = 0;
front = 0;
grayfrontmean = 0;
graybackmean = 0;
for (int i = 0; i < width; i++) {
for (int j = 0; j < height; j++) {
if (((gray[i][j]) & (0x0000ff)) < (i1 + 1)) {
graybackmean += ((gray[i][j]) & (0x0000ff));
back++;
} else {
grayfrontmean += ((gray[i][j]) & (0x0000ff));
front++;
}
}
}
grayfrontmean = (int) (grayfrontmean / front);
graybackmean = (int) (graybackmean / back);
G[s] = (((float) back / area) * (graybackmean - average)
* (graybackmean - average) + ((float) front / area)
* (grayfrontmean - average) * (grayfrontmean - average));
s++;
}
float max = G[0];
int index = 0;
for (int i = 1; i < frontvalue - backvalue + 1; i++) {
if (max < G[i]) {
max = G[i];
index = i;
}
}
for (int i = 0; i < width; i++) {
for (int j = 0; j < height; j++) {
int in = j * width + i;
if (((gray[i][j]) & (0x0000ff)) < (index + backvalue)) {
pix[in] = Color.rgb(0, 0, 0);
} else {
pix[in] = Color.rgb(255, 255, 255);
}
}
}
Bitmap temp = Bitmap.createBitmap(width, height, Config.ARGB_8888);
temp.setPixels(pix, 0, width, 0, 0, width, height);
return temp;
//image.setImageBitmap(temp);
}
public static void encodeYUV420SP(byte[] yuv420sp, int[] rgba, int width, int height){
int index = 0;
for (int j = 0; j < height; j++) {
for (int i = 0; i < width; i++) {
int r = (rgba[index] & 0xFF000000) >> 24;
int g = (rgba[index] & 0xFF0000) >> 16;
int b = (rgba[index] & 0xFF00) >> 8;
int y = (66 * r + 129 * g + 25 * b + 128 >> 8) + 16;
byte temp = (byte)(y > 255 ? 255 : y < 0 ? 0 : y);
yuv420sp[(index++)] = (byte) (temp > 0 ? 1 : 0);
// {
// if (f == 0) {
// yuv420sp[index++] = 0;
// f = 1;
// } else {
// yuv420sp[index++] = 1;
// f = 0;
// }
// }
}
}
}
public static byte[] bitmap2PrinterBytes (Bitmap bitmap){
int width = bitmap.getWidth();
int height = bitmap.getHeight();
//Log.v("hello", "height?:"+height);
int startX = 0;
int startY = 0;
int offset = 0;
int scansize = width;
int writeNo = 0;
int rgb=0;
int colorValue = 0;
int[] rgbArray = new int[offset + (height - startY) * scansize
+ (width - startX)];
bitmap.getPixels(rgbArray, offset, scansize, startX, startY,
width, height);
int iCount = (height % 8);
if (iCount > 0) {
iCount = (height / 8) + 1;
} else {
iCount = (height / 8);
}
byte [] mData = new byte[iCount*width];
//Log.v("hello", "myiCount?:"+iCoun t);
for (int l = 0; l <= iCount - 1; l++) {
//Log.v("hello", "iCount?:"+l);
//Log.d("hello", "l?:"+l);
for (int i = 0; i < width; i++) {
int rowBegin = l * 8;
//Log.v("hello", "width?:"+i);
int tmpValue = 0;
int leftPos = 7;
int newheight = ((l + 1) * 8 - 1);
//Log.v("hello", "newheight?:"+newheight);
for (int j = rowBegin; j <=newheight; j++) {
//Log.v("hello", "width?:"+i+" rowBegin?:"+j);
if (j >= height) {
colorValue = 0;
} else {
rgb = rgbArray[offset + (j - startY)* scansize + (i - startX)];
if (rgb == -1) {
colorValue = 0;
} else {
colorValue = 1;
}
}
//Log.d("hello", "rgbArray?:"+(offset + (j - startY)
// * scansize + (i - startX)));
//Log.d("hello", "colorValue?:"+colorValue);
tmpValue = (tmpValue + (colorValue << leftPos));
leftPos = leftPos - 1;
}
mData[writeNo]=(byte) tmpValue;
writeNo++;
}
}
return mData;
}
}
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