Question

我有一个功能，可以从相机中获取图像并处理图像，最后计算图像中检测到的物体数量以及直径。如果对象的数量是1，我想检查函数外部，并相应地编程来改变产生液滴（对象）的信号的值。

def DropletRecognition(image_orig,image_calibration,Mean_section_brightness,line_lowerNozzleEdge):
showImages=1
#To maintain the brightness 
mean_brightness=np.mean(np.mean(image_orig[0:line_lowerNozzleEdge][:]))
factor=Mean_section_brightness/mean_brightness
image_orig = misc.imread(image_name)
image=image_orig*factor
image=image_orig
if showImages == 1:
    print('measured image')
    print(image_orig)
    print('image_calibration')
    print(image_calibration)
    fig1 = plt.figure(1)
    fig1.suptitle(image_name)
    plt.imshow(image, cmap='gray')
    plt.draw()
    plt.waitforbuttonpress()

#To subtract the calibration image from the measured image
image_subtracted = image-image_calibration

#Calculating the lower nozzle edge and doing further resizing
image_subtracted[0:line_lowerNozzleEdge][:]=0

#To delete the nozzle lines
image_subtracted=image_subtracted[line_lowerNozzleEdge+10:][:]
image_subtracted=image_subtracted.astype('uint32')

#Erosion and Dilation to condition the image
image_tmp=image_subtracted
kernel = np.ones((5,5),np.uint8)

image_tmp = ndimage.grey_erosion(image_tmp, size=(6,6))
image_tmp = ndimage.grey_dilation(image_tmp, size=(6,6))
image_subtracted=image_tmp

#To convert the image to Binary
thresh_rc = mh.thresholding.rc(image_subtracted) 
thresh=thresh_rc
image_binary = image_subtracted > thresh
image_bin_int=image_binary.astype('uint8')

#To extract the features from the Binary Image
image_tmp=image_bin_int
im_floodfill = image_tmp.copy()
h, w = image_tmp.shape[:2]
mask = np.zeros((h+2, w+2), np.uint8)
cv2.floodFill(im_floodfill, mask, (0,0), 255);
im_floodfill_inv = cv2.bitwise_not(im_floodfill)
im_out = image_tmp | im_floodfill_inv
image_extracted=im_out

#To count the number of objects found in the image
T = mh.thresholding.otsu(image_extracted.astype('uint8'))
labeled,nr_objects = mh.label(image_extracted.astype('uint8') > T)
print(nr_objects)
print('number of detected objects = '+str(nr_objects))
label_array=np.array(labeled).ravel()
label_array=np.sort(label_array)
pixel_sum=np.zeros(nr_objects+1)
for ii in range(1,nr_objects+1,1): 
    n_tmp=np.where(label_array==ii)[0]
    pixel_sum[ii]=len(n_tmp)

#To calculate the Object Diameter using pixel sum and area
ObjectArea=pixel_sum*pixelArea

#Assuming that the object is a circle
Radius=np.sqrt(ObjectArea/np.pi)
Diameter=2*Radius
print(' ')
print('object diameters in um =',Diameter/1e-8)
print(' ')
print(' ')
if showImages == 1:
    fig2 = plt.figure(2)
    plt.clf()
    plt.imshow(labeled)
    plt.draw()
    plt.waitforbuttonpress()
return nr_objects

这是函数，我必须在函数之外检查

if nr_objects == 1:
    break
elif nr_objects > 1:
    voltage +=80
else:
    voltage-=80

但这不起作用。该程序根本不检查这些循环。我也经常检查过如果nr_objects == 1：打印（＆＃39;是＆＃39;）即便这样也行不通。所以我可以看到该参数未被访问。谁能指导我怎么做？

提前致谢！

Answer 1

您需要测试的变量不一定是nr_objects。这是函数调用左边出现的任何内容。即

test_me = DropletRecognition(... your arguments here)

if test_me == 1:
    break
elif test_me > 1:
    voltage +=80
else:
    voltage-=80

如何在函数外使用函数的参数？

1 个答案: