def texture(sample_path, result_path):
pix = u.picture_to_array(IMAGES_RESOURCE + sample_path)
pix_semitone = semitone.semitone(pix)
u.array_to_picture(pix_semitone,
IMAGES_RESULT + result_path + "semitone.png")
co_occurrence_matrix = t.get_co_occurrence_matrix(pix_semitone)
spread_image = t.norm_matrix(co_occurrence_matrix)
dis_i = t.dispersion(spread_image, 0)
dis_j = t.dispersion(spread_image, 1)
save_to_txt(dis_i, dis_j, IMAGES_RESULT + result_path + "features.txt")
u.array_to_picture(spread_image,
IMAGES_RESULT + result_path + "visualized.png")
def task_sobel(original_path, result_path1, result_path2, result_path3):
pix_array = utils.picture_to_array(IMAGES_RESOURCE + original_path)
pix_result1 = sobel.sobelOperator(pix_array)[0]
pix_result2 = sobel.sobelOperator(pix_array)[1]
pix_result3 = sobel.sobelOperator(pix_array)[2]
utils.array_to_picture(pix_result1, IMAGES_RESULT + result_path1)
utils.array_to_picture(pix_result2, IMAGES_RESULT + result_path2)
utils.array_to_picture(pix_result3, IMAGES_RESULT + result_path3)
def task_smoothing(original_path, result_path, xor_path):
pix_array = utils.picture_to_array(IMAGES_RESOURCE + original_path)
pix_smoothing = smoothing.conservative_smoothing_gray(pix_array, 2)
utils.array_to_picture(pix_smoothing, IMAGES_RESULT + result_path)
pix_xor = smoothing.xor(pix_array, pix_smoothing)
utils.array_to_picture(pix_xor, IMAGES_RESULT + xor_path)
def task_threshold(sample_path, result_path):
pix_array = utils.picture_to_array(IMAGES_RESOURCE + sample_path)
semitone_arr = semitone.semitone(pix_array)
threshold = binarization.bernsen_threshold(semitone_arr)
pix_threshold = binarization.apply_threshold(semitone_arr, threshold)
utils.array_to_picture(pix_threshold, IMAGES_RESULT + result_path)
def task_semitone(original_path, result_path):
pix_array = utils.picture_to_array(IMAGES_RESOURCE + original_path)
pix_semitone = semitone.semitone(pix_array)
utils.array_to_picture(pix_semitone, IMAGES_RESULT + result_path)
def task_oversample_once(original_path, result_path, ratio):
pix_array = utils.picture_to_array(IMAGES_RESOURCE + original_path)
pix_once = oversampling.once(pix_array, ratio)
utils.array_to_picture(pix_once, IMAGES_RESULT + result_path)
def task_decimation(original_path, result_path, m):
pix_array = utils.picture_to_array(IMAGES_RESOURCE + original_path)
pix_decimated = oversampling.decimation(pix_array, m)
utils.array_to_picture(pix_decimated, IMAGES_RESULT + result_path)
def task_interpolation(original_path, result_path, n):
pix_array = utils.picture_to_array(IMAGES_RESOURCE + original_path)
pix_interpolated = oversampling.interpolation(pix_array, n)
utils.array_to_picture(pix_interpolated, IMAGES_RESULT + result_path)