How to clip an image by extreme points?

asked 2017-10-02 08:34:03 -0600

Hello, I have found the contours of the object in the image with a cv2.findContours and I want to clip the image in the extreme points. However, the image returned is not correct.

Below is the code, I have implemented. Any hint?

def clipping_image( image ):
    '''
    Clip segmented imaged based on the contours of the leaf
    '''
    image = cv2.cvtColor( image, cv2.COLOR_BGR2GRAY );
    segmented, contours, hierarchy = cv2.findContours(image, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    cnt = contours[0]
    xmin = min(tuple(cnt[cnt[:, :, 0].argmin()][0]))
    ymin = min(tuple(cnt[cnt[:, :, 1].argmin()][0]))
    xmax = max(tuple(cnt[cnt[:, :, 0].argmax()][0]))
    ymax = max(tuple(cnt[cnt[:, :, 1].argmax()][0]))

    clipped = segmented[xmin:xmax, ymin:ymax]

    return clipped

Thank you

edit retag flag offensive close merge delete

Comments

this may be helpful

x,y,w,h = cv2.boundingRect(contours[0])

sturkmen ( 2017-10-02 09:01:08 -0600 )edit

also: segmented[ymin:ymax, xmin:xmax] (both opencv and numpy are row-major)

berak ( 2017-10-03 02:36:50 -0600 )edit

add a comment

def clipping_image( image ): ''' Clip segmented imaged based on the contours of the leaf ''' image = cv2.cvtColor( image, cv2.COLOR_BGR2GRAY ); segmented, contours, hierarchy = cv2.findContours(image, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) x, y = [], [] for contour_line in contours: for contour in contour_line: x.append(contour[0][0]) y.append(contour[0][1]) x1, x2, y1, y2 = min(x), max(x), min(y), max(y) clipped = segmented[y1:y2, x1:x2] return clipped

How to clip an image by extreme points?

Comments

1 answer

Links

Question Tools

Stats

Related questions

How to clip an image by extreme points? edit

Comments

1 answer

Links

Question Tools

Stats

Related questions

How to clip an image by extreme points?