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; } }