我如何改进我的 opencv 程序以仅检测人行横道？

我想检测下图中的人行横道，并用红色填充它，但程序也会检测其他东西。这是我的代码：

import cv2
import numpy as np

img = cv2.imread("zebra_lane.jpg")
cv2.imshow("kep" ,img)
imgContour=img.copy()

def getContours(img, imgContour):
    contours, hierarchy = cv2.findContours(img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)

    for cnt in contours:
        area=cv2.contourArea(cnt)
        if area>500:
            cv2.drawContours(imgContour, contours, -1, (0, 0, 255), 2)

            # peri=cv2.arcLength(cnt,True)
            # approx = cv2.approxPolyDP(cnt,0.02*peri,True)
            # # print(len(approx))
            # if len(approx)==4:
            #     x,y,w,h =cv2.boundingRect(approx)
            #     cv2.rectangle(imgContour,(x,y),(x+w,y+h), (0,0,255),1)


imgblur=cv2.GaussianBlur(img,(7,7),1)
imggray=cv2.cvtColor(imgblur,cv2.COLOR_BGR2GRAY)


imgcanny=cv2.Canny(imggray,150,90)
cv2.imshow("kep" ,imgcanny)

kernel=np.ones((1,1))
imgDil = cv2.dilate(imgcanny,kernel,iterations=1)
cv2.imshow("kep" ,imgDil)


getContours(imgDil,imgContour)
cv2.imshow("contour",imgContour)

这是在 Python/OpenCV 中执行此操作的一种方法。

• 读取输入
• 白色/灰色人行道条纹上的阈值
• 应用形态学打开和关闭
• 获取外部轮廓
• 过滤区域轮廓并保持良好轮廓
• 在输入上绘制良好的轮廓
• 组合轮廓
• 计算组合轮廓的凸包
• 在输入上绘制凸包
• 保存结果

Input:

import cv2
import numpy as np

# read image
img = cv2.imread('walkway.jpg')

# threshold on white/gray sidewalk stripes
lower = (100,130,130)
upper = (180,200,200)
thresh = cv2.inRange(img, lower, upper)


# apply morphology close to fill interior regions in mask
kernel = np.ones((3,3), np.uint8)
morph = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)
kernel = np.ones((5,5), np.uint8)
morph = cv2.morphologyEx(morph, cv2.MORPH_CLOSE, kernel)

# get contours
cntrs = cv2.findContours(morph, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cntrs = cntrs[0] if len(cntrs) == 2 else cntrs[1]

# filter on area
contours = img.copy()
good_contours = []
for c in cntrs:
    area = cv2.contourArea(c)
    if area > 200:
        cv2.drawContours(contours, [c], -1, (0,0,255), 1)
        good_contours.append(c)

# combine good contours
contours_combined = np.vstack(good_contours)

# get convex hull
result = img.copy()
hull = cv2.convexHull(contours_combined)
cv2.polylines(result, [hull], True, (0,0,255), 2)

# write result to disk
cv2.imwrite("walkway_thresh.jpg", thresh)
cv2.imwrite("walkway_morph.jpg", morph)
cv2.imwrite("walkway_contours.jpg", contours)
cv2.imwrite("walkway_result.jpg", result)

# display it
cv2.imshow("THRESH", thresh)
cv2.imshow("MORPH", morph)
cv2.imshow("CONTOURS", contours)
cv2.imshow("RESULT", result)
cv2.waitKey(0)

阈值图像：

形态图像：

轮廓图：

Result: