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 get_normalized_image(pix):
img_binary = binary.apply_threshold(semitone.semitone(pix), 128, 1)
return u.pix_invert(img_binary, 0)
def get_normalized_image(pix):
img_grayscale = binary.apply_threshold(semitone.semitone(pix), 128, 1)
return utils.pix_invert(img_grayscale, 0)
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)