Hough圆开环CV误差

Question

我目前正在computer-vision上使用computer-vision，但我无法使它工作。如何解决这个错误？

Error : 
'Traceback (most recent call last):  
  File "F:\TIPE ENTROPIE\Programmation\Iris-Recognition-master\Iris   Code\norm.py", line 82, in <module>  
    extract_iris(img)  
  File "F:\TIPE ENTROPIE\Programmation\Iris-Recognition-master\Iris   Code\norm.py", line 53, in extract_iris  
    cord     = get_circle(img, 35, 0, 50, 40)  
  File "F:\TIPE ENTROPIE\Programmation\Iris-Recognition-master\Iris   Code\norm.py", line 14, in get_circle  
    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20,   param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)  
cv2.error: C:\projects\opencv-python\opencv\modules\imgproc  \src\hough.cpp:1494: error: (-215) !_image.empty() && _image.type() == (((0)   & ((1 << 3) - 1)) + (((1)-1) << 3)) && (_image.isMat() || _image.isUMat()) in   function cv::HoughCircles`  

这是我的代码：

import cv2 
import numpy as np

## Definitions

def get_circle(img, minR, maxR, p1, p2):

    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)
    circles = np.uint16(np.around(circles))

    #return the first circle
    return circles[0][0]

def print_img(img,x,y,w,h):
    if w!=0 and h!=0:
        cv2.imshow('detected circles',img[x:x+w,y:y+h])
        cv2.imwrite('app-1/1.jpg',img[x:x+w,y:y+h])
    else:
        cv2.imshow('detected circles',img)
        cv2.imwrite('app-1/1.jpg',img)
    cv2.waitKey(0)

    cv2.destroyAllWindows() 

def reject_out(img, xc, yc, r):
    row = len(img)
    col = len(img[0])

    for x in range(0,row):
        for y in range(0, col):
            res = (x-xc)*(x-xc) + (y-yc)*(y-yc)
            if res > r*r :
                img[x][y] = 0

def reject_in(img, xc, yc, r):
    xs = xc-r
    ys = yc-r

    for x in range(xs,xs+2*r):
        for y in range(ys, ys+2*r):
            res = (x-xc)*(x-xc) + (y-yc)*(y-yc)
            if res < r*r :
                img[x][y] = 0

def extract_iris(img):
    cimg    = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
    cord    = get_circle(cimg, 35, 0, 50, 40)
    # draw the outer circle
    cv2.circle(cimg,(cord[0],cord[1]),cord[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(cimg,(cord[0],cord[1]),2,(0,0,255),3)


    h = 2*cord[2]
    w = 2*cord[2]
    x = cord[1]-cord[2]
    y = cord[0]-cord[2]
    nimg = img[x:x+w,y:y+h]
    reject_out(nimg, h/2, w/2, h/2)
    print_img(cimg,0,0,0,0)

    cord    = get_circle(nimg, 0, cord[2]-1, 50, 30)
    print (nimg[0:w][cord[0]])
    # draw the outer circle
    cv2.circle(nimg,(cord[0],cord[1]),cord[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(nimg,(cord[0],cord[1]),2,(0,0,255),3)
    reject_in(nimg, cord[1], cord[0], cord[2])
    print_img(nimg,0,0,0,0)
    print (nimg[0:w][cord[0]])



img = cv2.imread('test6.jpg',0)
img = cv2.medianBlur(img,5)
extract_iris(img)
`

更新:新错误：

Traceback (most recent call last):
  File "F:\TIPE ENTROPIE\Programmation\essai.py", line 80, in <module>
    extract_iris(img)
  File "F:\TIPE ENTROPIE\Programmation\essai.py", line 49, in extract_iris
    cord    = get_circle(cimg, 35, 0, 50, 40)
  File "F:\TIPE ENTROPIE\Programmation\essai.py", line 8, in get_circle
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.error: C:\projects\opencv-python\opencv\modules\imgproc\src\color.cpp:11111: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor

Answer 1

正如@jeru-luke在评论中所说的那样，您应该在调用cv2.HoughCircles()之前添加cv2.HoughCircles()：

def get_circle(img, minR, maxR, p1, p2):
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # <------------- Here

    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)
    circles = np.uint16(np.around(circles))

COLOR_BGR2GRAY而非COLOR_GRAY2BGR

更新：

在第二次调用nimg = cv2.cvtColor(nimg, cv2.COLOR_GRAY2BGR)之前添加get_circle：

更新2

import cv2
import numpy as np

## Definitions

def get_circle(img, minR, maxR, p1, p2):
    if len(img.shape)==3:
        img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    circles = cv2.HoughCircles(img, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)
    circles = np.uint16(np.around(circles))

    #return the first circle
    return circles[0][0]

def print_img(img,x,y,w,h):
    if w!=0 and h!=0:
        cv2.imshow('detected circles',img[x:x+w,y:y+h])
        cv2.imwrite('app-1/1.jpg',img[x:x+w,y:y+h])
    else:
        cv2.imshow('detected circles',img)
        cv2.imwrite('app-1/1.jpg',img)
    cv2.waitKey(0)

    cv2.destroyAllWindows()

def reject_out(img, xc, yc, r):
    row = len(img)
    col = len(img[0])

    for x in range(0,row):
        for y in range(0, col):
            res = (x-xc)*(x-xc) + (y-yc)*(y-yc)
            if res > r*r :
                img[x][y] = 0

def reject_in(img, xc, yc, r):
    xs = xc-r
    ys = yc-r

    for x in range(xs,xs+2*r):
        for y in range(ys, ys+2*r):
            res = (x-xc)*(x-xc) + (y-yc)*(y-yc)
            if res < r*r :
                img[x][y] = 0

def extract_iris(img):
    cimg    = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
    cord    = get_circle(cimg, 35, 0, 50, 40)
    # draw the outer circle
    cv2.circle(cimg,(cord[0],cord[1]),cord[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(cimg,(cord[0],cord[1]),2,(0,0,255),3)


    h = 2*cord[2]
    w = 2*cord[2]
    x = cord[1]-cord[2]
    y = cord[0]-cord[2]
    nimg = img[x:x+w,y:y+h]

    reject_out(nimg, h/2, w/2, h/2)
    print_img(cimg,0,0,0,0)

    nimg = cv2.cvtColor(nimg, cv2.COLOR_GRAY2BGR)
    cord    = get_circle(nimg, 0, cord[2]-1, 50, 30)
    print (nimg[0:w][cord[0]])
    # draw the outer circle
    cv2.circle(nimg,(cord[0],cord[1]),cord[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(nimg,(cord[0],cord[1]),2,(0,0,255),3)
    reject_in(nimg, cord[1], cord[0], cord[2])
    print_img(nimg,0,0,0,0)
    print (nimg[0:w][cord[0]])



img = cv2.imread('test6.jpg',0)
img = cv2.medianBlur(img,5)
extract_iris(img)

结果：

​

​

Answer 2

Error 215是一个标志，表明图像没有以适当的格式进行给定的颜色转换。

scn == 3 || scn == 4建议img不是像BGR2GRAY所要求的那样是3通道或4通道图像.

请添加

print img.shape，看看第三个值是否为1，而不是3。这可能是错误的原因。

Answer 3

我想你的形象是三维的。将图像转换为灰度，使用

img1 = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
img1 = cv2.medianBlur(img1, 1)
circles = cv2.HoughCircles(img1, cv2.HOUGH_GRADIENT,1,20, param1=p1,param2=p2,minRadius=minR,maxRadius=maxR)