File:EmiMa-099-Prewitt-x-color.jpg

Summary

Description
English: Image "EmiMa-099" convolved with Prewitt-x operator in all 3 RGB color channels
Deutsch: EmiMa-099" wurde in allen dreien RGB-Farbkanälen mit dem Prewitt-x Operator gefaltet.
Date
Source Own work based on: EmiMa-099.jpg
Author MartinThoma
#!/usr/bin/env python

from PIL import Image
from scipy.ndimage import imread
from scipy.signal import convolve2d
import numpy as np

im = imread('EmiMa-099.jpg')

# Edge filter
weights = [[-1, -1, -1]], [0, 0, 0], [1, 1, 1]
im0 = convolve2d(im[:,:,0], weights, mode='same')
im1 = convolve2d(im[:,:,1], weights, mode='same')
im2 = convolve2d(im[:,:,2], weights, mode='same')

rgbArray = np.zeros((im0.shape[0], im0.shape[1], 3), 'uint8')
rgbArray[..., 0] = im0
rgbArray[..., 1] = im1
rgbArray[..., 2] = im2

img = Image.fromarray(rgbArray)
img.save('EmiMa-099-Prewitt-x-color.jpg')
Category:Images by Martin Thoma/Computer Vision Category:Edge detection Category:Computer vision Category:Image processing Category:Image processing by convolutional neural networks

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Category:CC-Zero#EmiMa-099-Prewitt-x-color.jpgCategory:Self-published work
Category:CC-Zero Category:Computer vision Category:Edge detection Category:Image processing Category:Image processing by convolutional neural networks Category:Images by Martin Thoma/Computer Vision Category:Self-published work