OpenCV-python 如何提取单个字符

import cv2
import numpy as np

'''水平投影'''


def getHProjection(image):
    hProjection = np.zeros(image.shape, np.uint8)
    # 图像高与宽
    (h, w) = image.shape
    # 长度与图像高度一致的数组
    h_ = [0] * h
    # 循环统计每一行白色像素的个数
    for y in range(h):
        for x in range(w):
            if image[y, x] == 255:
                h_[y] += 1
    # 绘制水平投影图像
    for y in range(h):
        for x in range(h_[y]):
            hProjection[y, x] = 255
    cv2.imshow('hProjection2', hProjection)

    return h_


def getVProjection(image):
    vProjection = np.zeros(image.shape, np.uint8);
    # 图像高与宽
    (h, w) = image.shape
    # 长度与图像宽度一致的数组
    w_ = [0] * w
    # 循环统计每一列白色像素的个数
    for x in range(w):
        for y in range(h):
            if image[y, x] == 255:
                w_[x] += 1
    # 绘制垂直平投影图像
    for x in range(w):
        for y in range(h - w_[x], h):
            vProjection[y, x] = 255
    cv2.imshow('vProjection',vProjection)
    return w_


if __name__ == "__main__":
    # 读入原始图像
    origineImage = cv2.imread('outpuitest.png')
    # 图像灰度化
    # image = cv2.imread('test.jpg',0)
    image = cv2.cvtColor(origineImage, cv2.COLOR_BGR2GRAY)
    cv2.imshow('gray', image)
    # 将图片二值化
    retval, img = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY_INV)
    cv2.imshow('binary', img)
    # 图像高与宽
    (h, w) = img.shape
    Position = []
    # 水平投影
    H = getHProjection(img)

    start = 0
    H_Start = []
    H_End = []
    # 根据水平投影获取垂直分割位置
    for i in range(len(H)):
        if H[i] > 0 and start == 0:
            H_Start.append(i)
            start = 1
        if H[i] <= 0 and start == 1:
            H_End.append(i)
            start = 0
    # 分割行，分割之后再进行列分割并保存分割位置
    for i in range(len(H_Start)):
        # 获取行图像
        cropImg = img[H_Start[i]:H_End[i], 0:w]
        # cv2.imshow('cropImg',cropImg)
        # 对行图像进行垂直投影
        W = getVProjection(cropImg)
        Wstart = 0
        Wend = 0
        W_Start = 0
        W_End = 0
        for j in range(len(W)):
            if W[j] > 0 and Wstart == 0:
                W_Start = j
                Wstart = 1
                Wend = 0
            if W[j] <= 0 and Wstart == 1:
                W_End = j
                Wstart = 0
                Wend = 1
            if Wend == 1:
                Position.append([W_Start, H_Start[i], W_End, H_End[i]])
                Wend = 0
    # 根据确定的位置分割字符
    for m in range(len(Position)):
         cv2.rectangle(origineImage, (Position[m][0], Position[m][1]), (Position[m][2], Position[m][3]), (0, 229, 238),
                       1)

cv2.imshow('image',cv2.resize(origineImage, None, fx=1, fy=1, interpolation=cv2.INTER_AREA))

img_path = "D:\各种文件\学习信息\图像处理项目实验\图像分割".format(m)
print(img_path)
# img = Position.append([W_Start, H_Start[i], W_End, H_End[i]])
# cv2.imwrite(img_path,img)
# cv2.imshow('image', image)

cv2.waitKey(0)

#如何将矩形框，变成五个单独图片

选出来 切割就行了。