Ad
How To Remove L-channel From Lab Image
I need to get a Lab image, but without the l-channel. Either by removing the l-channel or by splitting all three channels up and merging the a- and b-channel back together.
My code so far (not even anywhere next to solving this):
lab_image = cv2.cvtColor(numpy.array(color_images_array)[i], cv2.COLOR_RGB2LAB)
_, a, b = cv2.split(lab_image)
This code only splits the channels up, but doesn't merge the a- and b-channel...
Ad
Answer
cv2.split
separates the channels from the image. You have to call cv2.merge
function to merge them.
merged = cv2.merge((a,b))
Ad
source: stackoverflow.com
Related Questions
- → What are the pluses/minuses of different ways to configure GPIOs on the Beaglebone Black?
- → Django, code inside <script> tag doesn't work in a template
- → React - Django webpack config with dynamic 'output'
- → GAE Python app - Does URL matter for SEO?
- → Put a Rendered Django Template in Json along with some other items
- → session disappears when request is sent from fetch
- → Python Shopify API output formatted datetime string in django template
- → Can't turn off Javascript using Selenium
- → WebDriver click() vs JavaScript click()
- → Shopify app: adding a new shipping address via webhook
- → Shopify + Python library: how to create new shipping address
- → shopify python api: how do add new assets to published theme?
- → Access 'HTTP_X_SHOPIFY_SHOP_API_CALL_LIMIT' with Python Shopify Module
Ad