task4.ipynb

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   "source": [
    "# <a id=\"#\">Task 4 – Edge detection: Derivative operators</a>"
   ]
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    "---\n",
    "\n",
    "## Prewitt filters\n",
    "\n",
    "**<a id=\"#\">Task 4.1.1.</a>** Load the image `data/lena.png` and show it:"
   ]
  },
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   "execution_count": null,
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   "source": [
    "**<a id=\"#\">Task 4.1.2.</a>** Implement horizontal and vertical $3 \\times 3$ Prewitt filters:"
   ]
  },
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   "source": [
    "def prewitt_h(img):\n",
    "    # write your code here\n",
    "    \n",
    "def prewitt_v(img):\n",
    "    # write your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**<a id=\"#\">Task 4.1.3.</a>** Test your above solution using the functions `prewitt_h` and `prewitt_v` for the previously loaded image and show the result:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**<a id=\"#\">Task 4.1.4.</a>** Compare your results with the correct result image `data/lena_prewitt_h.tiff` and `data/lena_prewitt_v.tiff`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "cell_type": "markdown",
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   "source": [
    "---\n",
    "\n",
    "## Edge detection\n",
    "\n",
    "**<a id=\"#\">Task 4.2.1.</a>** Use your results from **Task 4.1.2 – 4.1.3** to compute the *gradient magnitude* of the image:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**<a id=\"#\">Task 4.2.2.</a>** Compare your result with the correct result image `data/lena_prewitt_gradmag.tiff`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Sobel filters (bonus)\n",
    "\n",
    "**<a id=\"#\">Task 4.3.1.</a>** Implement the two functions `sobel_h` and `sobel_v` for horizontal and vertical $3 \\times 3$ Sobel filtering, respectively:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**<a id=\"#\">Task 4.3.2.</a>** Test your above solution using the functions `sobel_h` and `sobel_v` for the previously loaded image and show the result:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**<a id=\"#\">Task 4.3.3.</a>** Compare your results with the correct result image `data/lena_sobel_h.tiff` and `data/lena_sobel_v.tiff`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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