OpenCV GGB Tutorial

Introduction

OpenCV uses numpy based array format to store the pixel value of an image. Thus, the numpy array is heavily used as core of GGB color space converter which OpenCV as its backend. This following tutorial will use OpenCV as the main image processing library.

Load Image

First of all, load the useful components to load an image:

import cv2
from ggb import GGB, ColorSpace, CVLib

image = cv2.imread('/path/to/image')

Warning

Users should define /path/to/image to a valid path by themselves for example img/leukocytes.png.

GGB Convert

For the main process, let’s utilize GGB, ColorSpace and CVLib:

ggb_image = GGB(image=image, input_color=ColorSpace.BGR, backend=CVLib.OPENCV).process()

Note

Default OpenCV image in BGR color space. To see the valid color space please see the reference.

Show Result

There are various ways to see the result such as show it directly or write it into a variable or file:

#show it directly
ggb_image.show()

#write it into a variable
final_image = ggb_image.write()

#write it into a file
ggb_write.write('/path/to/image')

Warning

Users should define /path/to/image to a valid path by themselves for example img/leukocytes_ggb.png.