Commit d8740a5b authored by Marvin Kastner's avatar Marvin Kastner
Browse files

Rename Notebook, add histograms

parent ae2493af
......@@ -219,6 +219,45 @@
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Das oberste Bild, das den Rotanteil repräsentiert ist sehr hell, sprich die Intensität ist hoch.\n",
"Das unterste Bild, das den Blauanteil repräsentiert, ist eher dunkel, sprich die Intenität ist niedrig.\n",
"Dadurch können wir darauf schließen, dass die Katze eher rötlich als bläulich aussieht.\n",
"\n",
"Eine andere Möglichkeit, dies zu visualisieren, sind Histogramme.\n",
"Dafür werden mithilfe der Methode `flatten` alle Pixel nacheinander gesetzt und sind somit eine 1-dimensionale Liste.\n",
"Dann werden die Häufigkeiten der Zahlenwerte analysiert."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.hist(color_image[:,:,0].flatten(), bins='auto', color=\"red\", alpha=.4, label=\"rot\")\n",
"plt.hist(color_image[:,:,1].flatten(), bins='auto', color=\"green\", alpha=.4, label=\"grün\")\n",
"plt.hist(color_image[:,:,2].flatten(), bins='auto', color=\"darkblue\", alpha=.4, label=\"blau\")\n",
"plt.title(\"Histogramm Rot-Grün-Blau\")\n",
"plt.legend()\n",
"plt.xlim([0, 255])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
......
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