[問題] 關於影像處理

看板AndroidDev作者sheep922420時間10年前 (2014/03/11 20:13)推噓2(2推 0噓 20→)

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各位大大好小弟目前利用 mamaya3 大大的照相機預覽的程式在 Nexus 7 上抓到了底層回傳的 Camera preview raw data(NV21格式) 並解碼成RGB格式我的問題是想保留畫面上的紅色部分其餘部分轉成灰階類似像這張圖 http://ppt.cc/j53Q 可是 "影像處理完後，全變成藍色濾鏡的效果" 像這樣 http://ppt.cc/9NfV >"< ******************************************************************* 我的做法是除了滿足 1. pixel RGB 的 R 分量是否等於 255 2. pixel RGB 的 G 分量等於 0 3. pixel RGB 的 B 分量等於 0 的像素點不做修改其餘的像素點通通改成灰階也就是紅色的點保留不除理，剩餘的通通改成灰階 ******************************************************************* 以下是我在客製化View中 (就是不斷更新預覽畫面的View) 覆寫的 onDraw 方法的程式碼，總若是有需要其餘的java檔，小弟可在上傳感謝板上高手 ^.^ =================================================================== @Override protected void onDraw(Canvas canvas){ Log.i(tag, "onDraw() "); //image 可以是framework 傳到 Application 層的 preview raw data int size = imgWidth * imgHeight; int[] rgb = new int[imgWidth * imgHeight]; if(isCameraSet){ rgb = convertYUV420_NV21toARGB8888(image, imgWidth, imgHeight); for (int k = 0; k < size; k++) { if(Color.red(rgb[k]) == 255 && Color.green(rgb[k]) == 0 && Color.blue(rgb[k]) == 0){} else{ rgb[k] = (int) ((0.2126 * Color.red(rgb[k])) + (0.7152 * Color.green(rgb[k])) + (0.0722 * Color.blue(rgb[k]))); } } Log.i("tag", "rgb length = " + rgb.length); overlayBitmap = Bitmap.createBitmap(rgb, 0, imgWidth, imgWidth,imgHeight, Bitmap.Config.RGB_565); canvas.drawBitmap(overlayBitmap, matrix, null); overlayBitmap.recycle(); } } ======================================================================== 完整的 ViewToDraw 程式碼 package com.example.macampreviewdemo; public class ViewToDraw extends View{ public String tag = "tag"; public byte[] image; public boolean isCameraSet = false; public int imgWidth, imgHeight; Bitmap overlayBitmap; Matrix matrix; public ViewToDraw(Context context, AttributeSet attrs) { super(context, attrs); matrix = new Matrix(); } public void cameraSet(){ isCameraSet = true; } public void putImage(byte[] img){ image = img; } @Override protected void onDraw(Canvas canvas){ Log.i(tag, "onDraw() "); //image 可以是framework 傳到 Application 層的 preview raw data int size = imgWidth * imgHeight; int[] rgb = new int[imgWidth * imgHeight]; if(isCameraSet){ rgb = convertYUV420_NV21toARGB8888(image, imgWidth, imgHeight); for (int k = 0; k < size; k++) { if(Color.red(rgb[k]) == 255 && Color.green(rgb[k]) == 0 && Color.blue(rgb[k]) == 0){} else{ rgb[k] = (int) ((0.2126 * Color.red(rgb[k])) + (0.7152 * Color.green(rgb[k])) + (0.0722 * Color.blue(rgb[k]))); } } Log.i("tag", "rgb length = " + rgb.length); overlayBitmap = Bitmap.createBitmap(rgb, 0, imgWidth, imgWidth, imgHeight, Bitmap.Config.RGB_565); canvas.drawBitmap(overlayBitmap, matrix, null); overlayBitmap.recycle(); } } /** * Converts YUV420 NV21 to ARGB8888 * * @param data byte array on YUV420 NV21 format. * @param width pixels width * @param height pixels height * @return a ARGB8888 pixels int array. Where each int is a pixels ARGB. */ public static int[] convertYUV420_NV21toARGB8888(byte[] data, int width, int height) { int size = width*height; int offset = size; int[] pixels = new int[size]; int u, v, y1, y2, y3, y4; // i along Y and the final pixels // k along pixels U and V for(int i=0, k=0; i < size; i+=2, k+=1) { y1 = data[i ]&0xff; y2 = data[i+1]&0xff; y3 = data[width+i ]&0xff; y4 = data[width+i+1]&0xff; v = data[offset+k ]&0xff; u = data[offset+k+1]&0xff; v = v-128; u = u-128; pixels[i ] = convertYUVtoARGB(y1, u, v); pixels[i+1] = convertYUVtoARGB(y2, u, v); pixels[width+i ] = convertYUVtoARGB(y3, u, v); pixels[width+i+1] = convertYUVtoARGB(y4, u, v); if (i!=0 && (i+2)%width==0) i+=width; } return pixels; } private static int convertYUVtoARGB(int y, int u, int v) { int r,g,b; r = y + (int)(1.402f*u); g = y - (int)(0.344f*v + 0.714f*u); b = y + (int)(1.772f*v); r = r>255? 255 : r<0 ? 0 : r; g = g>255? 255 : g<0 ? 0 : g; b = b>255? 255 : b<0 ? 0 : b; return 0xff000000 | (r<<16) | (g<<8) | b; } } -- ※ 發信站: 批踢踢實業坊(ptt.cc) ◆ From: 59.124.161.210

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