outputimg = cv2.inpaint( src=srcimg, inpaintMask=mask, # 基于掩膜的图像复原,二值掩膜图中修复处为1 inpaintRadius=radius, # 修复半径 flags=cv2.INPAINT_NS # cv2.INPAINT_TELEA ) 灰度图转彩图 def transform(img,channel=3): # 各种图像的预处理操作都可以全部写在transform里 res=np.zeros((*img...
Since you already have a mask from your threshold step, you can also use it to bitwise_and against the drawn contour: import cv2 import numpy as np import matplotlib.pyplot as plt img = cv2.imread('drawn_chars.png') img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) img_...
contours = contours[1]#output = cv2.bitwise_and(img, img, mask=mask)iflen(contours) ==0:returnNonerects = []#cv2.drawContours(img,contours,-1, (0,255,0), 3)forcontourincontours:#adapted from https://github.com/opencv/opencv/blob/master/samples/python/squares.pyepsilon = cv2.arcLength...
函数drawContours将轮廓的列表作为输入。
cv2.bitwise_and(img, img, mask=mask) (2)直方图均衡化 如果一副图像的像素占有很多的灰度级而且分布均匀,那么这样的图像往往有高对比度和多变的灰度色调。直方图均衡化就是一种能仅靠输入图像直方图信息自动达到这种效果的变换函数。它的基本思想是对图像中像素个数多的灰度级进行展宽,而对图像中像素个数少的灰...
cvSegmentFGMask( FroundImg ); //对前景做连通域分割 //更新背景 cvRunningAvg(SrcImg_grayf, BackgroundImgf, 0.003, 0); //必须是浮点图像,因为会有小数出现 cvConvert(BackgroundImgf,BackgroundImg); } } /*** *OTSU大津法 * thresholdValue 为使类间方差最大的阈值 * 当找到...
# 需要导入模块: import cv2 [as 别名]# 或者: from cv2 importminAreaRect[as 别名]defmask2poly_single(binary_mask):""" :param binary_mask: :return: """try: contours, hierarchy = cv2.findContours(binary_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)# contour_lens = np.array(list(map...
warpPerspective(img, tM, (shape[1], shape[0]), dst=out, borderMode=cv2.BORDER_TRANSPARENT, flags=cv2.WARP_INVERSE_MAP) return out # TODO: Modify this method to get a better face contour mask Example #25Source File: helpers.py From songoku with MIT License 5 votes def perspective_...
mask = closed_mask) [contours,hiearchy] = cv2.findContours(masked_img,cv.CV_RETR_EXTERNAL,cv.CV_CHAIN_APPROX_SIMPLE) #now find the largest contour max_area = 0 max_contour = None for c in contours: #we change datatypes from numpy arrays to cv arrays and back because contour area only...
Inverting the whole image is tricky, but you can invert the mask for each hole and then run findContours again. Then replace the contour of the hole with that output. Here is a function that computes the hole boundary from the blob boundary. Running it on the data from the questio...