work

day3/.ipynb_checkpoints/卷积特征-checkpoint.ipynb

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+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

day3/卷积特征.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5cc5d4bb-cee6-440c-9ab5-d515d264ae59",
+   "metadata": {},
+   "source": [
+    "## 1.关于图像特征\n",
+    ">1.统计特征\n",
+    ">2.数学特征（奇异值分解）\n",
+    ">3.卷积特征"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e2ab7e5-9636-4c42-9169-e9c999cbf205",
+   "metadata": {},
+   "source": [
+    "2.卷积特征"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3b5b55d1-b2b6-4ab6-aaff-b41807da2ea4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import cv2\n",
+    "import numpy as up\n",
+    "#import malplotlib.pyplot as plt\n",
+    "\n",
+    "#读取图片：大矩阵\n",
+    "img = cv2.imread(\"gpu.bmp\")\n",
+    "img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)\n",
+    "#准备小矩阵：算子\n",
+    "img_sobel = cv2.Sobel(\n",
+    "    img, \n",
+    "    -1,\n",
+    "    1,#一阶微分\n",
+    "    1,\n",
+    "    ksize=3,\n",
+    "    scale=1.0,\n",
+    "    delta=50.0\n",
+    ")\n",
+    "    \n",
+    "#显示\n",
+    "#plt.inshow(img_sobel)\n",
+    "cv2.imwrite(\"3.jpg\", img_sobel)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dc03a5ea-4b5b-4cac-9db3-cb09fcd7886a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}