def __init__(self, img_rgb, pattern_name, threshold, probe_func_list):
img_tools = ImageTools()
self.img_rgb = img_rgb
self.threshold = threshold
self.img_gray = img_tools.rgb2gray(self.img_rgb, self.threshold)
self.pattern_name = pattern_name
self.arr_image = img_tools.img2arr(self.img_gray)
self.probe_func_list = probe_func_list
self.lst_near_patterns = [] #...patterns of this class
self.lst_L2 = [] #...distance L2 by each pattern of thi class
self.ave_contrast = 0
self.ave_correlation = 0
self.ave_energy = 0
self.ave_entropy = 0
self.ave_homogeneity = 0
self.l2 = 0
self.class_name = ''
self.class_index = 0
if probe_func_list[0]:
self.contrast = self.calculateContrast(self.arr_image)
if probe_func_list[1]:
self.correlation = self.calculateCorrelation(self.arr_image)
if probe_func_list[2]:
self.energy = self.calculateEnergy(self.arr_image)
if probe_func_list[3]:
self.entropy = self.calculateEntropy(self.arr_image)
if probe_func_list[4]:
self.homogeneity = self.calculateHomogeneity(self.arr_image)
def test_equal_images_histogram_compare_returns_zero(self):
im1 = Image.new('RGB', (256, 256), 'white')
im2 = im1.copy()
img_comp = ImageTools()
img_diff = img_comp._compare_images_histogram(im1, im2)
self.assertEqual(img_diff, 0)
def test_empty_images_histogram_compare_returns_error(self):
im1 = Image.new('RGB', (256, 256), 'white')
im2 = None
img_comp = ImageTools()
img_diff = img_comp._compare_images_histogram(im1, im2)
self.assertEqual(img_diff, 'One or more images are empty')
def test_opposite_images_histogram_compare_returns_nonzero(self):
im1 = Image.new('RGB', (256, 256), 'white')
im2 = Image.new('RGB', (256, 256), 'black')
img_comp = ImageTools()
img_diff = img_comp._compare_images_histogram(im1, im2)
print(img_diff)
self.assertGreater(img_diff, 0)
def test_opposite_images_pixel_compare_returns_one_hundred(self):
im1 = Image.new('RGB', (256, 256), 'white')
im2 = Image.new('RGB', (256, 256), 'black')
img_comp = ImageTools()
img_diff = img_comp._compare_images_pixel(im1, im2)
print(img_diff)
self.assertEqual(img_diff, 100.0)
def test_nonexist_imagefiles_return_error(self):
im1 = Image.new('RGB', (256, 256), 'white')
im1.save(self.imfile1)
img_comp = ImageTools()
img_diff = img_comp.compare_image_files(self.imfile1, 'notreal.jpg')
self.assertEqual(img_diff, 'Error reading one or more files')
def test_imagefiles_calls_pixels_algo_by_default(self):
im1 = Image.new('RGB', (256, 256), 'white')
im2 = Image.new('RGB', (256, 256), 'black')
im1.save(self.imfile1)
im2.save(self.imfile2)
img_comp = ImageTools()
img_diff = img_comp.compare_image_files(self.imfile1, self.imfile2)
self.assertEqual(img_diff, 100.0)
def __init__(self, img_rgb, solar_disk_name, threshold, size,
probe_func_list):
img_tools = ImageTools()
self.size = size
self.img_rgb = img_rgb
self.threshold = threshold
self.img_gray = img_tools.rgb2gray(self.img_rgb, self.threshold)
self.pattern_name = solar_disk_name
self.arr_image = img_tools.img2arr(self.img_gray)
self.lst_windows = self.generateFixedWindows(self.arr_image, self.size,
probe_func_list)
def test_imagefiles_calling_unknown_algo_returns_error(self):
im1 = Image.new('RGB', (256, 256), 'white')
im2 = Image.new('RGB', (256, 256), 'black')
im1.save(self.imfile1)
im2.save(self.imfile2)
img_comp = ImageTools()
img_diff = img_comp.compare_image_files(self.imfile1,
self.imfile2,
algorithm='unknown')
self.assertEqual(img_diff, 'Unsupported algorithm')
def test_imagefiles_calling_histogram_algo(self):
im1 = Image.new('RGB', (256, 256), 'white')
im2 = Image.new('RGB', (256, 256), 'black')
im1.save(self.imfile1)
im2.save(self.imfile2)
img_comp = ImageTools()
img_diff = img_comp.compare_image_files(self.imfile1,
self.imfile2,
algorithm='histogram')
self.assertGreater(img_diff, 100.0)
def __init__(self, nro_line, nro_column, arr_window, probe_func_list):
img_tools = ImageTools()
self.nro_line = nro_line
self.nro_column = nro_column
self.arr_image = arr_window
if probe_func_list[0]:
self.contrast = self.calculateContrast(self.arr_image)
if probe_func_list[1]:
self.correlation = self.calculateCorrelation(self.arr_image)
if probe_func_list[2]:
self.energy = self.calculateEnergy(self.arr_image)
if probe_func_list[3]:
self.entropy = self.calculateEntropy(self.arr_image)
if probe_func_list[4]:
self.homogeneity = self.calculateHomogeneity(self.arr_image)
#probe_func_list = [True,False,True,Fale,False] #..(Contrast,Energy)
#probe_func_list = [True,False,True,True,True] #..(Contrast,Energy,Entropy,Homogeneity)
#probe_func_list = [True,False,False,True,False] #..(Contrast,Entropy)
#probe_func_list = [True,False,False,False,True] #..(Contrast,Homogeneity)
#probe_func_list = [False,False,True,False,False] #..(Energy)
#probe_func_list = [False,False,True,True,False] #..(Energy,Entropy)
#probe_func_list = [False,False,True,False,True] #..(Energy,Homogeneity)
#probe_func_list = [False,False,False,True,False] #..(Entropy)
#probe_func_list = [False,False,False,True,True] #..(Entropy,Homogeneity)
#probe_func_list = [False,False,False,False,True] #..(Homogeneity)
lst_patterns = [] #...patterns object list
lst_classes = [] #...solar flare classes
lst_solar_disk = [] #...solar disk images for test
image_tools = ImageTools()
db_images = dbImages()
if probe_func_list[0]:
max_contrast = 0
if probe_func_list[1]:
max_correlation = 0
if probe_func_list[2]:
max_energy = 0
if probe_func_list[3]:
min_entropy = 0
if probe_func_list[4]:
max_homogeneity = 0
print ".|begin application..."
