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)