填补ROI的中心

Question

如何填充ROI，使图像被放置在ROI的中心？

ROI是用(x, y, w, h) = cv2.boundingRect(contour)找到的，我用

image = cv2.resize(input\_image, (w, h)) img2gray = cv2.cvtColor(image, cv2.COLOR\_BGR2GRAY) \_, image\_mask = cv2.threshold(img2gray, 1, 255, cv2.THRESH\_BINARY) roi = frame[y:y+h, x:x+w] roi[np.where(image\_mask)] = 0 roi += image

h和w是输入图像的尺寸。

如何添加偏移量，以使ROI += image的结果与图像中所显示的一样？

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Answer 1

根据我的理解，您希望将调整大小的图像放在ROI的中心。

您已经获得了ROI roi = frame[y:y+h, x:x+w]。

# using this as background, hence making it white
roi[:] = (255, 255, 255)

# Obtain the spatial dimensions of ROI and image
roi_h, roi_w = roi.shape[:2]
image_h, image_w = image.shape[:2]

# Calculate height and width offsets
height_off = int((roi_h - image_h)/2)
width_off = int((roi_w - image_w)/2)

# With Numpy slicing, place the image in the center of the ROI
roi[height_off:height_off+image_h, width_off:width_off+image_w] = image

我希望这能给你一个关于如何进一步推进的想法。