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OCR 응용 프로그램을 구현하려고합니다. 단어 그룹을 찾고 각 단어에 대해 각 개인의 윤곽을 찾고 싶습니다. 각 단어의 윤곽을 찾았지만 각 문자의 윤곽을 표시하는 데 문제가 있습니다. 지금까지 내 코드 :OpenCV 2.4 연결된 구성 요소 찾기
imgInput = cv2.imread("inputImage.jpg")
# convert image to grayscale
imgGray = cv2.cvtColor(imgInput, cv2.COLOR_BGR2GRAY)
# invert black and white
newRet, binaryThreshold = cv2.threshold(imgGray,127,255,cv2.THRESH_BINARY_INV)
# dilation
rectkernel = cv2.getStructuringElement(cv2.MORPH_RECT,(15,10))
rectdilation = cv2.dilate(binaryThreshold, rectkernel, iterations = 1)
outputImage = imgInput.copy()
npaContours, npaHierarchy = cv2.findContours(rectdilation.copy(),
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
for npaContour in npaContours:
if cv2.contourArea(npaContour) > MIN_CONTOUR_AREA:
[intX, intY, intW, intH] = cv2.boundingRect(npaContour)
cv2.rectangle(outputImage,
(intX, intY), # upper left corner
(intX+intW,intY+intH), # lower right corner
(0, 0, 255), # red
2) # thickness
# Get subimage of word and find contours of that word
imgROI = binaryThreshold[intY:intY+intH, intX:intX+intW]
subContours, subHierarchy = cv2.findContours(imgROI.copy(),
cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
# This part is not working as I am expecting
for subContour in subContours:
[pointX, pointY, width, height] = cv2.boundingRect(subContour)
cv2.rectangle(outputImage,
(intX+pointX, intY+pointY),
(intX+width, intY+height),
(0, 255, 0),
2)
cv2.imshow("original", imgInput)
cv2.imshow("rectdilation", rectdilation)
cv2.imshow("threshold", binaryThreshold)
cv2.imshow("outputRect", outputImage)
cv2.waitKey(0);