OpenCV 18物件測量

# -*- coding:utf-8 -*-

import cv2 as cv
import numpy as np
defmeasure_object
(image)
:    gray = cv.cvtcolor(image, cv.color_bgr2gray)
ret, binary = cv.threshold(gray,0,
255, cv.thresh_binary | cv.thresh_otsu)
print
("threshold value : %s"
, ret)
cv.imshow(
"binary image"
, binary)
dst = cv.cvtcolor(binary, cv.color_gray2bgr)
for i, contour in
enumerate
(contours)
:        area = cv.contourarea(contour)
# 求輪廓面積
x, y, w, h = cv.boundingrect(contour)
# 求輪廓外接矩形
mm = cv.moments(contour)
# 求幾何矩,返回字典型別
# 求得圖形的重心座標
cx = mm[
'm10'
]/mm[
'm00'
]        cy = mm[
'm01'
]/mm[
'm00'
]        cv.circle(dst,
(np.
int(cx)
, np.
int(cy)),
3,(0
,255
,255),
-1)#cv.rectangle(dst, (x, y), (x+w, y+h), (0, 0, 255), 2)
print
("contour area %s"
%area)4,
true
)print0]
>6:
cv.drawcontours(dst, contours, i,(0
,255,0
),2)
0]==4
:            cv.drawcontours(dst, contours, i,(0
,0,255),
2)0]
==3:            cv.drawcontours(dst, contours, i,
(255,0
,0),
2)cv.imshow(
"measure-contours"
, dst)
# 讀取
src = cv.imread(
"d:\python\projects\opencv_toturial\images\detect_blob.png"
)# 建立opencv的gui視窗
cv.namedwindow(
"input image"
, cv.window_autosize)
# 將放入指定名字的視窗中顯示出來
cv.imshow(
"input image"
, src)
measure_object(src)
# 設定waitkey中的delay為0，程式會等待使用者操作後關閉視窗
				
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