一文字 カット に挑戦！【 Python OpenCV 】

/* import設定 */
import os
import glob
import cv2
import configparser as cfg
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from operator import itemgetter

user = os.getlogin()

/* Config設定 */
cfg = cfg.ConfigParser()
cfg.read('config.ini', 'UTF-8')

/* File読み込みフォルダ指定 */
files = glob.glob(cfg.get(user, 'img_folder') +
                  '/cell_cut/*.jpg', recursive=True)

/* File読み込み（複数可） */
for file in files:
    filename = os.path.basename(file)
    print('File:' + filename)
    img = cv2.imread(file, cv2.IMREAD_GRAYSCALE)
    kernel = np.ones((2, 2), np.uint8)
    img = cv2.erode(img, kernel, iterations=1)
    ret, img = cv2.threshold(img, 150, 255, cv2.THRESH_BINARY)

    minlength = int(img.shape[0] * 0.1)
    gap = 0

    lines = []
    lines = cv2.HoughLinesP(img, rho=1, theta=np.pi/360,
                            threshold=1, minLineLength=minlength, maxLineGap=gap)

    line_list = []
    k = 1
    judgelength = int(img.shape[0] * 0.95)
    for line in lines:
        x1, y1, x2, y2 = line[0]
        if abs(x1 - x2) <= k and abs(y1 - y2) >= judgelength:
            blackline = 1
            lineadd_img = cv2.line(img,
                                   (line[0][0], line[0][1]),
                                   (line[0][2], line[0][3]),
                                   (0, 0, 0),
                                   blackline)
            cv2.imwrite(cfg.get(user, 'output_folder') +
                        '/' + filename[:-4] + '_linemod.jpg', lineadd_img)
            line = (x1, y1, x2, y2)
            line_list.append(line)

    line_list.sort(key=itemgetter(0, 1, 2, 3))
    df = pd.DataFrame(line_list)

    line_count = 0
    x1 = line_list[0][0]
    for line in line_list:
        judge_x1 = line[0]
        judge_x2 = line[2]
        if abs(judge_x1 - x1) != 0:
            if abs(x1-judge_x1) < 2:
                x1 = judge_x1
            else:
                line_count = line_count + 1
                x2 = judge_x2
                sep_cut = img[:, x1 + 1:x2]
                w_imgh = np.ones((50, sep_cut.shape[1]), np.uint8) * 255
                sep_cut = cv2.vconcat([w_imgh, sep_cut, w_imgh])
                w_imgw = np.ones((sep_cut.shape[0], 50), np.uint8) * 255
                sep_cut = cv2.hconcat([w_imgw, sep_cut, w_imgw])
                cv2.imwrite(cfg.get(user, 'char_output_folder') + '/' +
                            filename[:-4] + '-' + str(line_count) + '_cut.jpg', sep_cut)
                x1 = judge_x1*/