GGB Color Space

This package is implementation of GGB color space from Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Image.

Installation

This package could be installed via PyPI.

pip3 install ggb

Quick Demo

This package supports various computer vision libraries such as OpenCV and PIL. Complete example for these computer vision libraries provided in here. For the short example in Python3:

# import the package and its necessary components
from ggb import GGB, ColorSpace

# we are using OpenCV
import cv2

import urllib.request as urllib
import numpy as np

# load image from internet
req = urllib.urlopen('https://github.com/reshalfahsi/GGB/raw/master/docs/img/leukocytes.png')
arr = np.asarray(bytearray(req.read()), dtype=np.uint8)
img = cv2.imdecode(arr, -1)

# convert to GGB Color
ggb_image = GGB(image=img, input_color=ColorSpace.BGR).process()

# show the result    
ggb_image.show()

# save the image to OpenCV format
img = ggb_image.write()

Result

Leukocytes

Fundus

Car