Image Quality features

Image quality features are available in Nyxus in the ImageQuality class to determine how blurry an image is. These features are available in the IMAGE_QUALITY feature group.

The ImageQuality class is used similarly to Nyxus,

from nyxus import ImageQuality

int_path = 'path/to/intensity'
seg_path = 'path/to/segmentation'

imq = ImageQuality(['*ALL_IMQ*'])

features = imq.feature_directory(int_path, seg_path)

The output will be a pandas DataFrame, just like in the Nyxus class.

The following features are included in the ImageQaulity class:

Image Quality feature code	Description
FOCUS_SCORE	Uses edge detection to highlight regions where intesnity changes rapidly. Higher focus score means lower blurriness
LOCAL_FOCUS_SCORE	Tiles image into non-overlapping regions and calculates the FOCUS_SCORE for each region. Higher local focus score means lower blurriness
GLCM_DIS	Blurry images low dissimilarity
GLCM_CORRELATION	Blurry images have a high correlation
POWER_SPECTRUM	The slope of the image log-log power spectrum. A low score means a blurry image
SATURATION	Percent of pixels at minimum and maximum pixel values
SHARPNESS	Uses median-filtered image as indicator of edge scharpness. Values range from 0 to sqrt(2). Low scores indicate blurriness.