我编写此代码的前提是识别图像中的单词。此方法查找链接中显示的一些但不是所有单词。
我的代码是：
def methods_text_recognition_and_delete(self, path_floorplans, f, path_fw):
image = cv2.imread(path_floorplans +f)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # grayscale
_, thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY_INV) # threshold
kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (3, 3))
dilated = cv2.dilate(thresh, kernel, iterations = 1) # dilate
contours, hierarchy = cv2.findContours(dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) # get contours
# for each contour found, draw a rectangle around it on original image
for contour in contours:
# get rectangle bounding contour
[x, y, w, h] = cv2.boundingRect(contour)
# discard areas that are too large
if h > 300 and w > 300:
continue
# discard areas that are too small
if h < 10 or w < 10:
continue
# draw rectangle around contour on original image
cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 255), 2)
# write original image with added contours to disk
cv2.imwrite(path_fw + 'text_recognition_' + f, image)
有人建议改善这种方法的质量吗？
