python图像矫正
时间: 2023-08-28 21:07:43 浏览: 53
要对Python图像进行矫正,可以使用霍夫变换和旋转变换来实现。首先,需要进行图像的预处理,包括读取图像、灰度变换和边缘检测。接下来,使用霍夫变换函数`cv2.HoughLines()`来检测图像中的直线。然后,计算每条直线的斜率,并筛选出倾斜角度在一定范围内的直线。通过计算斜率的平均值,确定最适合旋转的角度。最后,使用`cv2.getRotationMatrix2D()`函数和`cv2.warpAffine()`函数进行旋转变换。以下是实现图像矫正的Python代码示例:
```python
import cv2
import math
import numpy as np
img = cv2.imread("1.jpg")
h, w = img.shape[:2]
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(img, 50, 150, apertureSize=3)
lines = cv2.HoughLines(edges, 1, np.pi/180, 118)
dst = 0
count = 0
for line in lines:
rho, theta = line<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* *3* [opencv-python基于霍夫变换的图像矫正和表格补齐](https://blog.csdn.net/m0_61882174/article/details/125460770)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 100%"]
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