从深度图像中寻找轮廓

Question

我是图像处理的新手。我有一个已转换为灰度的深度图像，如下所示：

From depth to grayscale

通过

depth_image_raw = np.asanyarray(depth_frame.get_data())
to_grayscale = cv2.convertScaleAbs(depth_image_raw, alpha=0.30)
ret, Thresh = cv2.threshold(to_grayscale, 60, 155, 0)
contours, hierarchy = cv2.findContours(Thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(to_grayscale, contours, 0, (0, 0, 255), 2)

这没有用。当我做print(countours) 时，我可以看到坐标列表，但它不是由cv2.drawCountours 绘制的。

我哪里错了？

我试图做这样的事情：1:Detect approximately objects on depth map

Answer 1

尝试从Detect approximately objects on depth map 开始重新创建您的问题；

输入图像：

这是我的代码：

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun  9 08:20:40 2021

@author: Pietro

https://stackoverflow.com/questions/67898354/finding-contour-from-depth-image


codice non utilizzabile manca import e immagine originale 
"""



import cv2

imagez1 = cv2.imread('1tCjh_resized.png') #from https://stackoverflow.com/questions/38094594/detect-approximately-objects-on-depth-map

print(imagez1.dtype,'   ',imagez1.shape)  

cv2.imshow('pippo',imagez1)
cv2.waitKey(0)
cv2.destroyAllWindows()

imagez = cv2.imread('1tCjh_resized.png', cv2.IMREAD_GRAYSCALE) #from https://stackoverflow.com/questions/38094594/detect-approximately-objects-on-depth-map  

print(imagez.dtype,'   ',imagez.shape)  

cv2.imshow('pippoZ',imagez)
cv2.waitKey(0)
cv2.destroyAllWindows()


ret,th = cv2.threshold(imagez,127,255, 1)


contours, hierarchy = cv2.findContours(th, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

print(contours)
cv2.drawContours(imagez, contours, 0, (0, 0, 255), 2) #black contours
# cv2.drawContours(imagez, contours, 0, (255, 0, 0), 2) #white contours



cv2.imshow('pippoZZ',imagez)
cv2.waitKey(0)
cv2.destroyAllWindows()

我的问题是：当我们谈论灰度图像时，为什么 cv2.drawContours(to_grayscale, contours, 0, (0, 0, 255), 2) 指定计数颜色 (0, 0, 255) ？

所以我猜罪魁祸首在这里：

depth_image_raw = np.asanyarray(depth_frame.get_data())
to_grayscale = cv2.convertScaleAbs(depth_image_raw, alpha=0.30)