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computer-vision/edge-detection.ipynb

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initial commit
2019-12-08 03:13:45 +00:00
{
"cells": [
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import cv2\n",
"import math\n",
"import numpy as np\n",
"from scipy.signal import convolve2d\n",
"from matplotlib import pyplot as plt"
]
},
initial commit
2019-12-08 03:13:45 +00:00
{
"cell_type": "markdown",
"metadata": {},
"source": [
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"# edge detection"
initial commit
2019-12-08 03:13:45 +00:00
]
},
{
"cell_type": "code",
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"execution_count": 2,
initial commit
2019-12-08 03:13:45 +00:00
"metadata": {},
"outputs": [
{
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"output_type": "execute_result",
initial commit
2019-12-08 03:13:45 +00:00
"data": {
"text/plain": [
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"<matplotlib.image.AxesImage at 0x1a7791a11c0>"
initial commit
2019-12-08 03:13:45 +00:00
]
},
"metadata": {},
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"execution_count": 2
initial commit
2019-12-08 03:13:45 +00:00
},
{
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"output_type": "display_data",
initial commit
2019-12-08 03:13:45 +00:00
"data": {
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
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initial commit
2019-12-08 03:13:45 +00:00
},
"metadata": {
"needs_background": "light"
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
}
initial commit
2019-12-08 03:13:45 +00:00
}
],
"source": [
added spatial colour and texture added imload normalisation added fixes for 0 edge histogram
2019-12-08 22:19:30 +00:00
"img = cv2.imread('sheep.png')[:,:,::-1]\n",
"plt.imshow(img)"
initial commit
2019-12-08 03:13:45 +00:00
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"# sobel filter"
initial commit
2019-12-08 03:13:45 +00:00
]
},
added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
{
"cell_type": "code",
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"execution_count": 3,
added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
"metadata": {},
"outputs": [
{
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"output_type": "execute_result",
added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
"data": {
"text/plain": [
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"<matplotlib.image.AxesImage at 0x1a7792c9250>"
added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
]
},
"metadata": {},
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"execution_count": 3
added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
},
{
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"output_type": "display_data",
added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
"data": {
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"text/plain": "<Figure size 432x288 with 1 Axes>",
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added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
},
"metadata": {
"needs_background": "light"
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
}
added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
}
],
"source": [
"kx = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]) / 4\n",
"ky = np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]) / 4\n",
"\n",
added spatial colour and texture added imload normalisation added fixes for 0 edge histogram
2019-12-08 22:19:30 +00:00
"grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
added image model and loading/saving methods
2019-12-08 12:02:15 +00:00
"\n",
"blur = convolve2d(grey, np.array([[1, 1, 1], [1, 1, 1], [1, 1, 1]]) / 9)\n",
"\n",
"dx = convolve2d(blur, kx)\n",
"dy = convolve2d(blur, ky)\n",
"\n",
"x = np.concatenate((dx, dy), axis=1)\n",
"\n",
"plt.imshow(x)"
]
},
initial commit
2019-12-08 03:13:45 +00:00
{
"cell_type": "code",
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"execution_count": 4,
initial commit
2019-12-08 03:13:45 +00:00
"metadata": {},
"outputs": [
{
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"output_type": "execute_result",
initial commit
2019-12-08 03:13:45 +00:00
"data": {
"text/plain": [
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"<matplotlib.image.AxesImage at 0x1a77a5474c0>"
initial commit
2019-12-08 03:13:45 +00:00
]
},
"metadata": {},
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"execution_count": 4
initial commit
2019-12-08 03:13:45 +00:00
},
{
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"output_type": "display_data",
initial commit
2019-12-08 03:13:45 +00:00
"data": {
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"text/plain": "<Figure size 432x288 with 1 Axes>",
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initial commit
2019-12-08 03:13:45 +00:00
},
"metadata": {
"needs_background": "light"
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
}
initial commit
2019-12-08 03:13:45 +00:00
}
],
"source": [
"kx = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]) / 4\n",
"ky = np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]) / 4\n",
"\n",
added spatial colour and texture added imload normalisation added fixes for 0 edge histogram
2019-12-08 22:19:30 +00:00
"grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
initial commit
2019-12-08 03:13:45 +00:00
"\n",
"blur = convolve2d(grey, np.array([[1, 1, 1], [1, 1, 1], [1, 1, 1]]) / 9)\n",
"\n",
"dx_grey = convolve2d(grey, kx)\n",
"dy_grey = convolve2d(grey, ky)\n",
"\n",
"dx_blur = convolve2d(blur, kx)\n",
"dy_blur = convolve2d(blur, ky)\n",
"\n",
"dx = np.concatenate((dx_grey, dx_blur[1:-1, 1:-1]), axis=1)\n",
"dy = np.concatenate((dy_grey, dy_blur[1:-1, 1:-1]), axis=1)\n",
"\n",
added spatial colour and texture added imload normalisation added fixes for 0 edge histogram
2019-12-08 22:19:30 +00:00
"x = np.sqrt(dx**2 + dy**2) > 20\n",
"plt.imshow(x)"
initial commit
2019-12-08 03:13:45 +00:00
]
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
},
{
"source": [
"# canny filter"
],
"cell_type": "markdown",
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x1a77a2d5dc0>"
]
},
"metadata": {},
"execution_count": 5
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
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},
"metadata": {
"needs_background": "light"
}
}
],
"source": [
"img = cv2.imread('sheep.png')\n",
"edges = cv2.Canny(img, 150, 220)\n",
"plt.imshow(edges)"
]
initial commit
2019-12-08 03:13:45 +00:00
}
],
"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",
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
"version": "3.8.4-final"
initial commit
2019-12-08 03:13:45 +00:00
}
},
"nbformat": 4,
"nbformat_minor": 4
updated packages, reformatting bits of the notebooks
2021-01-01 22:05:49 +00:00
}
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