Page 269 - MDP2020-1

················································································ 명장양성프로젝트 【MDP】 과제발표회 자료집 Ⅰ | 263

다. 라즈베리파이 4
버전 : Raspberry Pi 4 Model B REV 1.2 / Python 2.7.16 / Thonny 3.2.6

<car_nuver.py> // 차량번호 인식 시스템

import cv2
import numpy as np
import matplotlib.pyplot as plt
import pytesseract
plt.style.use('dark_background')
img_ori = cv2.imread('123.jpg')
height, width, channel = img_ori.shape
plt.figure(figsize=(12, 10))
plt.imshow(img_ori, cmap='gray')
gray = cv2.cvtColor(img_ori, cv2.COLOR_BGR2GRAY)
plt.figure(figsize=(12, 10))
plt.imshow(gray, cmap='gray')
structuringElement = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3))
imgTopHat = cv2.morphologyEx(gray, cv2.MORPH_TOPHAT, structuringElement)
imgBlackHat = cv2.morphologyEx(gray, cv2.MORPH_BLACKHAT, structuringElement)
imgGrayscalePlusTopHat = cv2.add(gray, imgTopHat)
gray = cv2.subtract(imgGrayscalePlusTopHat, imgBlackHat)`
img_blurred = cv2.GaussianBlur(gray, ksize=(5, 5), sigmaX=0)
img_thresh = cv2.adaptiveThreshold(
img_blurred,
maxValue=255.0,
adaptiveMethod=cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
thresholdType=cv2.THRESH_BINARY_INV,
blockSize=19,
C=9
)plt.figure(figsize=(12, 10))
plt.imshow(gray, cmap='gray')
contours, _ = cv2.findContours(
img_thresh,
mode=cv2.RETR_LIST,
method=cv2.CHAIN_APPROX_SIMPLE
)temp_result = np.zeros((height, width, channel), dtype=np.uint8)
cv2.drawContours(temp_result, contours=contours, contourIdx=-1, color=(255, 255, 255))
plt.figure(figsize=(12, 10))
plt.imshow(temp_result)
temp_result = np.zeros((height, width, channel), dtype=np.uint8)
contours_dict = []
for contour in contours:
x, y, w, h = cv2.boundingRect(contour)
cv2.rectangle(temp_result, pt1=(x, y), pt2=(x+w, y+h), color=(255, 255, 255), thickness=2)