5月

Python Image 对验证码进行灰度和二值法处理去掉边框

def binarizing(img, threashold):
    img = img.convert("L")  # 转灰度
    pixdata = img.load()
    w, h = img.size
    for y in range(h):
        for x in range(w):
            if pixdata[x, y] < threashold:
                pixdata[x, y] = 0
            else:
                pixdata[x, y] = 255
    return img
def removeFrame(img, width):
    '''
    :param img:
    :param width: 边框的宽度
    :return:
    '''
    w, h = img.size
    pixdata = img.load()
    for x in range(width):
        for y in range(0, h):
            pixdata[x, y] = 255
    for x in range(w - width, w):
        for y in range(0, h):
            pixdata[x, y] = 255
    for x in range(0, w):
        for y in range(0, width):
            pixdata[x, y] = 255
    for x in range(0, w):
        for y in range(h - width, h):
            pixdata[x, y] = 255
    return img