def main1():
img = cv2.imread('2.jpg', cv2.COLOR_BGR2GRAY)
height, width = img.shape[:2]
# resized = cv2.resize(img, (3*width,3*height), interpolation=cv2.INTER_CUBIC)
#二值化
(_, thresh) = cv2.threshold(img, 150, 255, cv2.THRESH_BINARY)
#cv2.imshow('thresh', thresh)
#扩大黑色面积，使效果更明显
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (10, 10)) #形态学处理，定义矩形结构
closed = cv2.erode(thresh, None, iterations=5)
# cv2.imshow('erode',closed)
height, width = closed.shape[:2]
v = [0] * width
z = [0] * height
#水平投影
#统计每一行的黑点数
a = 0
emptyImage1 = numpy.zeros((height, width, 3), numpy.uint8)
for y in range(0, height):
for x in range(0, width):
if closed[y, x][0] == 0:
a = a + 1
else:
continue
z[y] = a
a = 0
l = len(z)
#绘制水平投影图
listY = []
for y in range(0, height):
for x in range(0, z[y]):
listY.append(y)
listY = mod.Duplicate_removal(listY)
listY = mod.continuity(listY)
listY = mod.lxyz(listY, 75)
cropImg = img[0:45, 1080:87]
listXY = []
for i in listY:
# 画一个绿色边框的矩形，参数2：左上角坐标，参数3：右下角坐标
cv2.rectangle(img, (0, int(i.split('-')[0])),
(width, int(i.split('-')[1])), (0, 255, 0), 3)
listXY.append([(0, int(i.split('-')[0])),
(width, int(i.split('-')[1]))])
cv2.namedWindow('shuipin', cv2.WINDOW_NORMAL)
cv2.imshow('shuipin', img)
cv2.waitKey(0)
return listXY
