java数字图像处理常用算法

// 获取待检测图像，数据保存在数组 nData[]，nB[]，nG[]，nR[]中

public void getBMPImage(String source) throws Exception { clearNData(); //清除数据保存区 FileInputStream fs = null; try { fs = new FileInputStream(source); int bfLen = 14; byte bf[] = new byte[bfLen]; fs.read(bf, 0, bfLen); // 读取14字节BMP文件头 int biLen = 40; byte bi[] = new byte[biLen]; fs.read(bi, 0, biLen); // 读取40字节BMP信息头

// 源图宽度 nWidth = (((int) bi[7] & 0xff) << 24) | (((int) bi[6] & 0xff) << 16) | (((int) bi[5] & 0xff) << 8) | (int) bi[4] & 0xff;

// 源图高度 nHeight = (((int) bi[11] & 0xff) << 24) | (((int) bi[10] & 0xff) << 16) | (((int) bi[9] & 0xff) << 8) | (int) bi[8] & 0xff;

// 位数 nBitCount = (((int) bi[15] & 0xff) << 8) | (int) bi[14] & 0xff;

// 源图大小 int nSizeImage = (((int) bi[23] & 0xff) << 24) | (((int) bi[22] & 0xff) << 16) | (((int) bi[21] & 0xff) << 8) | (int) bi[20] & 0xff;

// 对24位BMP进行解析 if (nBitCount == 24){ int nPad = (nSizeImage / nHeight) – nWidth * 3; nData = new int[nHeight * nWidth]; nB=new int[nHeight * nWidth]; nR=new int[nHeight * nWidth]; nG=new int[nHeight * nWidth]; byte bRGB[] = new byte[(nWidth + nPad) * 3 * nHeight]; fs.read(bRGB, 0, (nWidth + nPad) * 3 * nHeight); int nIndex = 0; for (int j = 0; j < nHeight; j++){ for (int i = 0; i < nWidth; i++) { nData[nWidth * (nHeight – j – 1) + i] = (255 & 0xff) << 24 | (((int) bRGB[nIndex + 2] & 0xff) << 16) | (((int) bRGB[nIndex + 1] & 0xff) << 8) | (int) bRGB[nIndex] & 0xff; nB[nWidth * (nHeight – j – 1) + i]=(int) bRGB[nIndex]& 0xff; nG[nWidth * (nHeight – j – 1) + i]=(int) bRGB[nIndex+1]& 0xff; nR[nWidth * (nHeight – j – 1) + i]=(int) bRGB[nIndex+2]& 0xff; nIndex += 3; } nIndex += nPad; }// Toolkit kit = Toolkit.getDefaultToolkit();// image = kit.createImage(new MemoryImageSource(nWidth, nHeight,// nData, 0, nWidth));

/* //调试数据的读取

FileWriter fw = new FileWriter(“C:\\Documents and Settings\\Administrator\\My Documents\\nDataRaw.txt”);//创建新文件 PrintWriter out = new PrintWriter(fw); for(int j=0;j<nHeight;j++){ for(int i=0;i<nWidth;i++){ out.print((65536*256+nData[nWidth * (nHeight – j – 1) + i])+”_” +nR[nWidth * (nHeight – j – 1) + i]+”_” +nG[nWidth * (nHeight – j – 1) + i]+”_” +nB[nWidth * (nHeight – j – 1) + i]+” “); } out.println(“”); } out.close();*/ } } catch (Exception e) { e.printStackTrace(); throw new Exception(e); } finally { if (fs != null) { fs.close(); } } // return image; }