def diff_plot_determination(image, desired_color, gauss_blur_list, bin_list):
"""Creates cumlative histograms and splits them into plot 1 and 2"""
image = preprocessing.color_split_image(image, desired_color)
gauss_blur_images = multiresolution.gauss_filter(image, gauss_blur_list)
hist = multiresolution.cumulative_hist(gauss_blur_images, bin_list)
hist1_plot = hist[0]
hist2_plot = hist[1]
return hist1_plot, hist2_plot
def test_gauss_filter():
"""Test: Applies a Guassian Blur to all levels in list"""
#inputs for functions
image = Image.open('../data/protein_matrix_image.png')
desired_color = 'g'
image = preprocessing.color_split_image(image, desired_color)
gauss_blur_list = [0,
1] #function currently only works with two gauss blurs
#function running
gauss_blurs = multiresolution.gauss_filter(image, gauss_blur_list)
#asserts and checks
assert isinstance(desired_color, str), "intial input is wrong"
assert isinstance(gauss_blur_list, list), "input is wrong"
return gauss_blurs
def test_cumulative_hist():
"""Test: Creates a cumulative histogram through list"""
#inputs for function
image = Image.open('../data/protein_matrix_image.png')
desired_color = 'g'
image = preprocessing.color_split_image(image, desired_color)
gauss_blur_list = [0,
1] #function currently only works with two gauss blurs
gauss_blur_images = multiresolution.gauss_filter(image, gauss_blur_list)
bin_list = [3] #number of bins desired for histogram
#function running
hist = multiresolution.cumulative_hist(gauss_blur_images, bin_list)
#asserts and checks
assert isinstance(gauss_blur_list, list), "input is wrong"
return hist
def calc_gb(self, gauss_blur_list):
"""
Calculating Gaussian Blur
"""
self.gb = mH.gauss_filter(self.data, gauss_blur_list)
def calc_GB(self, gauss_blur_list):
"""
Calculates Gaussian Blur
"""
self.GB = mH.gauss_filter(self.data, gauss_blur_list)