Opencv 윤곽 검출

Opencv 윤곽 검출

findContours

 

 

import cv2
import matplotlib.pyplot as plt
import numpy as np
#import imutils

# 사진을 불러와서, 적정 크기로 줄인다.
img = cv2.imread("Rsc/Flower_CampanulaLactifiora.jpg")
img = cv2.resize(img, (300,169))
plt.subplot(2,2,1)
plt.title("origin")
plt.imshow(img)

# 큰 것들을 구분하기 좋게 처리한다.
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (7,7), 0)
plt.subplot(2,2,2)
plt.title("abs")
plt.imshow(gray)

# 이진화
im2 = cv2.threshold(gray, 140, 240, cv2.THRESH_BINARY)[1]
plt.subplot(2,2,3)
plt.title("bin")
plt.imshow(im2, cmap="gray")

# 윤곽 검출
cv2VersionMajor = cv2.__version__.split(".")[0]
if int(cv2VersionMajor) >= 4: contours, hierarchy = cv2.findContours(im2, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
else: img_temp, contours, hierarchy = cv2.findContours(im2, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)

for pt in contours:
     for p in pt:
         x,y,w,h = cv2.boundingRect(pt)
         cv2.rectangle(img, (x,y), (x+w, y+h), (0,255,0), 2)

plt.subplot(2,2,4)
plt.title("rst")
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))

plt.show()