Question

我正在使用OpenCV Python来检测和提取图像中的外部人体轮廓。有什么方法可以在图像中绘制外部轮廓？ Input Image，我得到了输出Output image

import cv2 as cv
import numpy as np
from scipy import ndimage

kernel5x5 = np.full((5, 5), 0.04, dtype = 'float64')

bgrImg = cv.imread('/home/sagar/Image Processing/OpenCV/man1.jpg')

grayImg = cv.cvtColor(bgrImg, cv.COLOR_BGR2GRAY)

height, width = grayImg.shape

resizeImage = cv.resize(bgrImg, (int(height/6), int(width/3)), interpolation = cv.INTER_NEAREST)

grayBlurred = cv.pyrMeanShiftFiltering(resizeImage, 7, 7)

#grayBlurred1 = ndimage.convolve(resizeImage, kernel5x5)

gray = cv.cvtColor(grayBlurred, cv.COLOR_BGR2GRAY)


kernel = np.ones((3, 3), np.uint8)

erode1 = cv.erode(gray, kernel, iterations = 2)

dilate1 = cv.dilate(erode1, kernel, iterations = 2)

ret, thresh = cv.threshold(dilate1, 90, 197, cv.THRESH_BINARY)

_, contours,_ = cv.findContours(thresh, cv.RETR_TREE, cv.CHAIN_APPROX_NONE)

mask = np.zeros(resizeImage.shape, dtype="uint8")

for contour in contours:
    area = cv.contourArea(contour)
    if area > 40:
        cv.drawContours(resizeImage, contour, -1,(0, 0, 255), 2)
print("Contours Length is %d " % len(contours))

#cv.imshow(" Gray Image ", gray)
cv.imshow(" Resize Image ", resizeImage)
#cv.imshow(" Blurred Image Edge ", blurredImg)
cv.waitKey()
cv.destroyAllWindows()

如何在opencv python中找到轮廓像人类图像的现实世界示例

0 个答案: