[英]License plate character segmentation python opencv
並且應該在每個字符周圍創建一個矩形邊框。 我的代碼正在創建一個圓形邊界框。 我需要將這些孤立的角色圖像提供給我訓練有素的模型以預測角色。 我沒有做過圖像處理,這導致我提出這樣的問題。
這是我正在使用的代碼:
# Standard imports
import cv2
import numpy as np;
from PIL import Image
params = cv2.SimpleBlobDetector_Params()
# Change thresholds
params.minThreshold = 10;
params.maxThreshold = 200;
#Filter by Color
params.filterByColor=False
params.blobColor=255
# Filter by Area.
params.filterByArea = False
params.minArea = 50
# Filter by Circularity
params.filterByCircularity = False
params.minCircularity = 0.0785
#
# # Filter by Convexity
params.filterByConvexity = False
params.minConvexity = 0.87
#
# # Filter by Inertia
params.filterByInertia = False
params.minInertiaRatio = 0.01
# Read image
im = cv2.imread("C:\\xx\\testimages\\bw_plate.jpg", cv2.IMREAD_GRAYSCALE)
cv2.threshold(im,200,255,cv2.THRESH_BINARY_INV,im)
# Set up the detector with default parameters.
detector = cv2.SimpleBlobDetector_create(params)
# Detect blobs.
keypoints = detector.detect(im)
# Draw detected blobs as red circles.
# cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS ensures the size of the circle corresponds to the size of blob
im_with_keypoints = cv2.drawKeypoints(im, keypoints, np.array([]), (0, 0, 255),
cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
# Show keypoints
cv2.imshow("Keypoints", im_with_keypoints)
cv2.waitKey(0)
為什么不能正確檢測0和2? 另外,如何為每個孤立的字符創建單獨的jpeg文件?
我的項目的C ++實現使用CblobResult類進行細分。 python中有任何等效的庫嗎?
消除背景噪音后,您可以像這樣輸入圖像:
然后,您可以使用以下代碼獲得所需的內容:
import cv2
img = cv2.imread('test4.jpg', 0)
cv2.threshold(img,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU,img)
image, contours, hier = cv2.findContours(img, cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)
contours = sorted(contours, key=lambda ctr: cv2.boundingRect(ctr)[0])
cv2.imshow("contours", img)
cv2.waitKey(0)
d=0
for ctr in contours:
# Get bounding box
x, y, w, h = cv2.boundingRect(ctr)
# Getting ROI
roi = image[y:y+h, x:x+w]
cv2.imshow('character: %d'%d,roi)
cv2.imwrite('character_%d.png'%d, roi)
cv2.waitKey(0)
cv2.destroyAllWindows()
d+=1
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