Question

我得到一个图像集，图像是这样的。

如何使用python删除图像下面的白色部分，而python不包含任何有用的内容？

我在python中将图像读取为numpy数组。

我的代码是这样的：

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Answer 1

这会在上方和下方逐行修剪白色空间（实际上它修剪任何完整的白色行）：

trimmed = image[np.where(~np.all(image == 255, axis=1))]

如果您需要修剪上边距和下边距，您可以这样做：

empty_row_mask = np.all(image == 255, axis=1)
top = np.searchsorted(~empty_row_mask, True)
bottom = np.searchsorted(empty_row_mask, True)
trimmed = image[top:bottom]

Answer 2

我找到了一种使用openCV3和python3.6

的方法

image_neg = cv2.bitwise_not(image) # invert the root to white
coords = cv2.findNonZero(image_neg) # find all the non-zero points (root)
x, y, w, h = cv2.boundingRect(coords) # find minimum spanning bounding box
rect = image[y:y+h, x:x+w]

修剪灰度图像的空白

2 个答案: