Я пытаюсь извлечь отдельный символ как изображение снизу
У меня есть код Python, который может извлекать каждую строку и слова по порядку.Но он не может идентифицировать и извлечь каждого персонажа.Ниже приведен код Python, который я использую,
import cv2
import numpy as np
image = cv2.imread("ConnectedCharacters.tif")
image = cv2.resize(image,None,fx=.5, fy=.5, interpolation = cv2.INTER_CUBIC)
cv2.imshow('orig',image)
#grayscale
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
# original_resized = cv2.resize(gray, (0,0), fx=.2, fy=.2)
cv2.imshow('gray',gray)
cv2.waitKey(0)
#Remove Salt and pepper noise
saltpep = cv2.fastNlMeansDenoising(gray,None,9,13)
# original_resized = cv2.resize(saltpep, (0,0), fx=.2, fy=.2)
cv2.imshow('Grayscale',saltpep)
cv2.waitKey(0)
#blur
blured = cv2.blur(saltpep,(3,3))
# original_resized = cv2.resize(blured, (0,0), fx=.2, fy=.2)
cv2.imshow('blured',blured)
cv2.waitKey(0)
#binary
ret,thresh = cv2.threshold(gray,127,255,cv2.THRESH_BINARY_INV)
# original_resized = cv2.resize(thresh, (0,0), fx=.2, fy=.2)
cv2.imshow('Threshold',thresh)
cv2.waitKey(0)
#dilation
kernel = np.ones((5,500), np.uint8)
img_dilation = cv2.dilate(thresh, kernel, iterations=1)
# original_resized = cv2.resize(img_dilation, (0,0), fx=.2, fy=.2)
cv2.imshow('dilated',img_dilation)
cv2.waitKey(0)
#find contours
im2,ctrs, hier = cv2.findContours(img_dilation.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
#sort contours
sorted_ctrs = sorted(ctrs, key=lambda ctr: cv2.boundingRect(ctr)[1])
for i, ctr in enumerate(sorted_ctrs):
# Get bounding box
x, y, w, h = cv2.boundingRect(ctr)
# Getting ROI
roi = image[y:y+h, x:x+w]
# # show ROI
cv2.imshow('Line no:' +str(i),roi)
cv2.waitKey(0)
im = cv2.resize(roi,None,fx=4, fy=4, interpolation = cv2.INTER_CUBIC)
ret_1,thresh_1 = cv2.threshold(im,127,255,cv2.THRESH_BINARY_INV)
# original_resized = cv2.resize(thresh, (0,0), fx=.2, fy=.2)
# cv2.imshow('Threshold_1',thresh_1)
# cv2.waitKey(0)
kernel = np.ones((10, 20), np.uint8)
words = cv2.dilate(thresh_1, kernel, iterations=1)
# cv2.imshow('words', words)
# cv2.waitKey(0)
words=cv2.cvtColor(words, cv2.COLOR_BGR2GRAY);
#find contours
im,ctrs_1, hier = cv2.findContours(words, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
#sort contours
sorted_ctrs_1 = sorted(ctrs_1, key=lambda ctr: cv2.boundingRect(ctr)[0])
for j, ctr_1 in enumerate(sorted_ctrs_1):
# Get bounding box
x_1, y_1, w_1, h_1 = cv2.boundingRect(ctr_1)
# Getting ROI
roi_1 = thresh_1[y_1:y_1+h_1, x_1:x_1+w_1]
# # show ROI
cv2.imshow('Line no: ' + str(i) + " word no : " +str(j),roi_1)
cv2.waitKey(0)
chars = cv2.cvtColor(roi_1, cv2.COLOR_BGR2GRAY);
# dilation
kernel = np.ones((2, 1), np.uint8)
joined = cv2.dilate(chars, kernel, iterations=1)
# original_resized = cv2.resize(img_dilation, (0,0), fx=.2, fy=.2)
# cv2.imshow('joined', joined)
# cv2.waitKey(0)
# find contours
im, ctrs_2, hier = cv2.findContours(joined, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# sort contours
sorted_ctrs_2 = sorted(ctrs_2, key=lambda ctr: cv2.boundingRect(ctr)[0])
for k, ctr_2 in enumerate(sorted_ctrs_2):
# Get bounding box
x_2, y_2, w_2, h_2 = cv2.boundingRect(ctr_2)
# Getting ROI
roi_2 = roi_1[y_2:y_2 + h_2, x_2:x_2 + w_2]
# # show ROI
cv2.imshow('Line no: ' + str(i) + ' word no : ' + str(j) + ' char no: ' + str(k), roi_2)
cv2.waitKey(0)
Не могли бы вы помочь мне извлечь отдельный символ как отдельное изображение?