生成灰度二值tu.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fa65c6f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "# 读取图片。\n",
    "img = cv2.imread(\"C:/Users/beichen/dataset/meihuameat/2.jpg\");\n",
    "# 转成灰度图片\n",
    "img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY);\n",
    "cv2.imshow('title', img);\n",
    "cv2.waitKey(0);\n",
    "cv2.destroyAllWindows();\n",
    "# 二值化\n",
    "ret,img=cv2.threshold(img, 127, 255, cv2.THRESH_BINARY);\n",
    "\n",
    "# 显示图像\n",
    "cv2.imshow(\"title\", img);\n",
    "cv2.imwrite(\"C:/Users/beichen/dataset/bwimg/2.jpg\", img)\n",
    "# 进程不结束，一直保持显示状态\n",
    "cv2.waitKey(0);\n",
    "#销毁所有窗口\n",
    "cv2.destroyAllWindows();\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e968ddd9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " ...\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]\n",
      "\n",
      " [[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  ...\n",
      "  [255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]]\n"
     ]
    }
   ],
   "source": [
    "import cv2\n",
    "img = cv2.imread(\"C:/Users/beichen/dataset/bwimg/2.jpg\") # 读取二值图像文件\n",
    "resized = cv2.resize(img, (666, 500), cv2.INTER_LINEAR) # 调整图像大小为128x128\n",
    "print(resized) # 打印像素矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c7276082",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 666)\n",
      "[[255 255 255 ... 255 255 255]\n",
      " [255 255 255 ... 255 255 255]\n",
      " [255 255 255 ... 255 255 255]\n",
      " ...\n",
      " [255 255 255 ... 255 255 255]\n",
      " [255 255 255 ... 255 255 255]\n",
      " [255 255 255 ... 255 255 255]]\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.image as img\n",
    "image = img.imread('C:/Users/beichen/dataset/bwimg/2.jpg') # 读取二值图像文件\n",
    "print(image.shape) # 打印图像的形状，例如(317, 504, 3)\n",
    "print(image) # 打印像素矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fb2614e6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[255 255 255 ... 255 255 255]\n",
      " [255 255 255 ... 255 255 255]\n",
      " [255 255 255 ... 255 255 255]\n",
      " ...\n",
      " [255 255 255 ... 255 255 255]\n",
      " [255 255 255 ... 255 255 255]\n",
      " [255 255 255 ... 255 255 255]]\n"
     ]
    }
   ],
   "source": [
    "from PIL import Image                   #使用PIL打开图片，方便转成矩阵的形式\n",
    "import numpy as np                      #矩阵肯定要用到numpy\n",
    "x=Image.open('C:/Users/beichen/dataset/bwimg/2.jpg')                  #打开图片\n",
    "x.show()\n",
    "data=np.asarray(x)                      #转换为矩阵\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2a1dfaaa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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   ],
   "source": [
    "import numpy as np\n",
    "from PIL import Image\n",
    "img = Image.open('C:/Users/beichen/dataset/bwimg/2.jpg')\n",
    "img = img.resize((32,32))#32x32的矩阵\n",
    "img = img.convert(\"L\")\n",
    " \n",
    "img_new = img.point(lambda x:0 if x> 170 else 1)\n",
    "arr = np.array(img_new)\n",
    "for i in range(arr.shape[0]):\n",
    "    print(arr[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e0dcb0db",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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