Imagen hasta el FWHM

Image.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from PIL import Image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "img=Image.open('data/zapatocaImage.jpeg')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def fwhm(img):\n",
+    "    std=img.std()\n",
+    "    img=np.exp(-((img-39)**2)/(2*std**2))/(std*np.sqrt(2.0))\n",
+    "    return img"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "r=0.2990\n",
+    "g=0.5870\n",
+    "b=0.1140\n",
+    "ar=np.asarray(img)\n",
+    "ar=(r*ar[:,:,0]+g*ar[:,:,1]+b*ar[:,:,2])/3\n",
+    "ar=ar.astype('uint8')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "star1=ar[540:570,650:680]\n",
+    "star2=ar[305:325,620:635]\n",
+    "star3=ar[100:200,350:450]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "star1filtered=fwhm(star1).astype('uint8')\n",
+    "star2filtered=fwhm(star2).astype('uint8')\n",
+    "star3filtered=fwhm(star3).astype('uint8')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}