def run_negative():
im = imageio.imread('images/images_grayscale/breast_digital_Xray.tif')
result = get_negative(im)
util.compare_gray(im, result)
def run_convolution(matrix):
im = imageio.imread(
'images/images_grayscale/test_pattern_blurring_orig.tif')
result = get_convolution(im, matrix)
util.compare_gray(im, result)
def run_average(): # escolher tamanho da vizinhança?
im = imageio.imread(
'images/images_grayscale/test_pattern_blurring_orig.tif')
result = get_average(im)
util.compare_gray(im, result)
def run_wmean(matrix):
im = imageio.imread(
'images/images_grayscale/test_pattern_blurring_orig.tif')
result = get_weighted_average(im, matrix)
util.compare_gray(im, result)
def run_tsh(const):
im = imageio.imread('images/images_grayscale/hubble_original.tif')
result = get_thresholding(im, const)
util.compare_gray(im, result)
def run_bitslice_c(layer):
im = imageio.imread('images/images_grayscale/100-dollars.tif')
result = bit_slicing_c(im, layer)
util.compare_gray(im, result[layer])
def run_gamma(c, exp):
#intensity_ramp, fractured_spine, washed_out_aerial
im = imageio.imread('images/images_grayscale/fractured_spine.tif')
result = get_gamma(im, c, exp)
util.compare_gray(im, result)
def run_chmean(const):
im = imageio.imread(
'images/images_grayscale/test_pattern_blurring_orig.tif')
result = get_counterharmonic_mean(im, const)
util.compare_gray(im, result)
def run_highboost(const):
im = imageio.imread('images/images_grayscale/100-dollars.tif') # mudar img
result = apply_highboost(im, const)
util.compare_gray(im, result)
def run_log():
im = imageio.imread('images/images_grayscale/DFT_no_log.tif')
result = get_logarithm(im)
util.compare_gray(im, result)
def run_brightness(const):
im = imageio.imread('images/images_grayscale/fractured_spine.tif')
result = get_brightness(im, const)
util.compare_gray(im, result)
def run_sobel():
im = imageio.imread('images/images_grayscale/contact_lens_original.tif')
result = get_sobel(im)
util.compare_gray(im, result)
def run_laplacian(): # acho que precisa de mais alguns passos na função
im = imageio.imread('images/images_grayscale/blurry_moon.tif')
result = apply_laplacian(im)
util.compare_gray(im, result)
def run_median():
im = imageio.imread(
'images/images_grayscale/ckt_board_saltpep_prob_pt05.tif')
result = get_median(im)
util.compare_gray(im, result)
def run_piecewise(point1, point2):
im = imageio.imread('images/images_grayscale/polen_low_contrast.tif')
result = get_piecewise(im, point1, point2)
util.compare_gray(im, result)
def run_min():
im = imageio.imread(
'images/images_grayscale/test_pattern_blurring_orig.tif')
result = get_min(im)
util.compare_gray(im, result)
def run_hmean():
im = imageio.imread(
'images/images_grayscale/1test_pattern_blurring_orig00.tif')
result = get_harmonic_mean(im)
util.compare_gray(im, result)