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163 lines
3.4 KiB
163 lines
3.4 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Image Manipulation with skimage"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"This example builds a simple UI for performing basic image manipulation with [scikit-image](http://scikit-image.org/)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"from IPython.html.widgets import interact, interactive, fixed\n",
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"from IPython.display import display"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"import skimage\n",
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"from skimage import data, filter, io"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"i = data.coffee()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"io.Image(i)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"def edit_image(image, sigma=0.1, r=1.0, g=1.0, b=1.0):\n",
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" new_image = filter.gaussian_filter(image, sigma=sigma, multichannel=True)\n",
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" new_image[:,:,0] = r*new_image[:,:,0]\n",
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" new_image[:,:,1] = g*new_image[:,:,1]\n",
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" new_image[:,:,2] = b*new_image[:,:,2]\n",
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" new_image = io.Image(new_image)\n",
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" display(new_image)\n",
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" return new_image"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"lims = (0.0,1.0,0.01)\n",
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"w = interactive(edit_image, image=fixed(i), sigma=(0.0,10.0,0.1), r=lims, g=lims, b=lims)\n",
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"display(w)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"w.result"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Python 3 only: Function annotations"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"In Python 3, you can use the new function annotation syntax to describe widgets for interact:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"lims = (0.0,1.0,0.01)\n",
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"\n",
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"@interact\n",
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"def edit_image(image: fixed(i), sigma:(0.0,10.0,0.1)=0.1, r:lims=1.0, g:lims=1.0, b:lims=1.0):\n",
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" new_image = filter.gaussian_filter(image, sigma=sigma, multichannel=True)\n",
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" new_image[:,:,0] = r*new_image[:,:,0]\n",
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" new_image[:,:,1] = g*new_image[:,:,1]\n",
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" new_image[:,:,2] = b*new_image[:,:,2]\n",
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" new_image = io.Image(new_image)\n",
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" display(new_image)\n",
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" return new_image"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.4.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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