如何在python中使用opencv复制图像区域？

Question

I am trying to implement a license plate recognition software using the ideas from http://iamabhik.wordpress.com/category/opencv/ .

I implemented the plate location using opencv in python, using "import cv2". It works okay and now I need to copy the plate region to another image to do the segmentation of the characters and then the OCR part (maybe using a neural network).

I found the GetSubRect() function to copy or isolate part of the image but it does not appear to be available in python. Is there an alternative? The ROI functions do not seem to be implemented either.

Is there an up-to-date documentation of the python interface to opencv?

I compiled opencv from svn repository (revision 7239) on a Debian wheezy/sid environment.

Fell free to suggest alternative methods/ideas to solve this problem.

Thanks in advance.

Answer 1

Both cv.GetSubRect and ROI functions are available in Python, but in old import cv mode or import cv2.cv . ie use cv2.cv.GetSubRect() or cv2.cv.SetImageROI if you are familier with them.

On the other hand, it is simple to set ROI without these functions due to numpy integration in new cv2.

If (x1,y1) and (x2,y2) are the two opposite vertices of plate you obtained, then simply use function:

roi = gray[y1:y2, x1:x2]

that is your image ROI.

So choose whatever suit you.

Answer 2

Here's a visualization for cropping a ROI from an image

-------------------------------------------
|                                         | 
|    (x1, y1)                             |
|      ------------------------           |
|      |                      |           |
|      |                      |           | 
|      |         ROI          |           |  
|      |                      |           |   
|      |                      |           |   
|      |                      |           |       
|      ------------------------           |   
|                           (x2, y2)      |    
|                                         |             
|                                         |             
|                                         |             
-------------------------------------------

Consider (0,0) as the top-left corner of the image with left-to-right as the x-direction and top-to-bottom as the y-direction. If we have (x1,y1) as the top-left and (x2,y2) as the bottom-right vertex of a ROI, we can use Numpy slicing to crop the image with:

ROI = image[y1:y2, x1:x2]

But normally we will not have the bottom-right vertex. In typical cases, we will be iterating through contours where the rectangular ROI coordinates can be found with cv2.boundingRect() . Additionally, if we wanted to save multiple ROIs, we could keep a counter

cnts = cv2.findContours(grayscale_image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]

ROI_number = 0
for c in cnts:
    x,y,w,h = cv2.boundingRect(c)
    ROI = image[y:y+h, x:x+w]
    cv2.imwrite('ROI_{}.png'.format(ROI_number), ROI)
    ROI_number += 1

Since OpenCV v2.2, Numpy arrays are naively used to display images. This Numpy slicing method to extract the ROI may not work with older versions

Answer 3

Example: If you have few points, and want to copy region contains its

r = cv2.boundingRect(pts)
cv2.imwrite('roi.png', im[r[0]:r[0]+r[2], r[1]:r[1]+r[3]])