如何檢測帶顏色的圓圈

我想找到紅色圓圈。我使用了 opencv2，簡單的 Blob 檢測器。當我在照片上應用蒙版時，找不到圓圈。它沒有錯誤訊息，只是找不到任何圈子。這就是我得到的 ->已建立的blob。我的測驗照片 -> BlobTest4.jpg。我的代碼如下。

import cv2
import numpy as np

img=cv2.imread("BlobTest4.jpg") 
rgb=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)

lower_red = np.array([95,0,0])
upper_red = np.array([255,90,90])

mask=cv2.inRange(rgb,lower_red,upper_red)

params = cv2.SimpleBlobDetector_Params()

params.filterByCircularity = True
params.minCircularity = 0.85

params.minThreshold = 1
params.maxThreshold = 2000

params.filterByArea = True
params.minArea = 33

params.filterByConvexity = True
params.minConvexity = 0.8

params.filterByInertia = True
params.minInertiaRatio = 0.01

blob=cv2.SimpleBlobDetector_create(params)
blob_coordinate=blob.detect(mask)
blob_coordinate_without_mask=blob.detect(img)

founded_blobs=cv2.drawKeypoints(mask,blob_coordinate,np.array([]),(0,255,0),cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
founded_blobs_without_mask=cv2.drawKeypoints(img,blob_coordinate2,np.array([]),(0,255,0),cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)

cv2.namedWindow("mask",cv2.WINDOW_NORMAL)
cv2.namedWindow("founded_blobs_with_mask",cv2.WINDOW_NORMAL)
cv2.namedWindow("founded_blobs_without_mask",cv2.WINDOW_NORMAL)

cv2.imshow("founded_blobs_with_mask",founded_blobs)
cv2.imshow("founded_blobs_without_mask",founded_blobs_without_mask)
cv2.imshow("mask",mask)

cv2.waitKey(0)
cv2.destroyAllWindows

uj5u.com熱心網友回復：

我認為斑點檢測可以檢測到白色上的黑色。這就是為什么需要反轉面具的原因。

reversemask=255-mask
blob=cv2.SimpleBlobDetector_create(params)
blob_coordinate=blob.detect(reversemask)

這是一個作業代碼。

import cv2
import numpy as np

img=cv2.imread("BlobTest4.jpg")
rgb=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)

lower_red = np.array([95,0,0])
upper_red = np.array([255,90,90])

hsvFrame = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

mask=cv2.inRange(rgb,lower_red,upper_red)
kernal = np.ones((5, 5), "uint8")

red_mask = cv2.dilate(mask, kernal)

params = cv2.SimpleBlobDetector_Params()

params.filterByCircularity = True
params.minCircularity = 0.85

params.minThreshold = 1
params.maxThreshold = 2000

params.filterByArea = True
params.minArea = 33

params.filterByConvexity = True
params.minConvexity = 0.8

params.filterByInertia = True
params.minInertiaRatio = 0.01

reversemask=255-mask

blob=cv2.SimpleBlobDetector_create(params)
blob_coordinate=blob.detect(reversemask)

blob_coordinate_without_mask=blob.detect(img)
print(blob_coordinate_without_mask)
print(blob_coordinate)
founded_blobs=cv2.drawKeypoints(red_mask,blob_coordinate,np.array([]),(0,255,0),cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
founded_blobs_without_mask=cv2.drawKeypoints(img,blob_coordinate_without_mask,np.array([]),(0,255,0),cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)

cv2.namedWindow("mask",cv2.WINDOW_NORMAL)
cv2.namedWindow("founded_blobs_with_mask",cv2.WINDOW_NORMAL)
cv2.namedWindow("founded_blobs_without_mask",cv2.WINDOW_NORMAL)

cv2.imshow("founded_blobs_with_mask",founded_blobs)
cv2.imshow("founded_blobs_without_mask",founded_blobs_without_mask)
cv2.imshow("mask",mask)

cv2.waitKey(0)
cv2.destroyAllWindows

標籤：Python opencv 面具 简历2

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