数字图像处理汽车车牌识别设计opencv
时间: 2023-12-22 22:28:26 浏览: 34
数字图像处理汽车车牌识别设计opencv可以通过Python的OpenCV库实现。下面是一个简单的步骤:
1.读取图像并将其转换为灰度图像
```python
import cv2
img = cv2.imread('car.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
```
2.使用高斯滤波器平滑图像
```python
blur = cv2.GaussianBlur(gray, (5, 5), 0)
```
3.使用Sobel算子计算图像的梯度
```python
sobelx = cv2.Sobel(blur, cv2.CV_64F, 1, 0, ksize=3)
sobely = cv2.Sobel(blur, cv2.CV_64F, 0, 1, ksize=3)
```
4.使用阈值处理来分割图像
```python
ret, binary = cv2.threshold(sobelx, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
```
5.使用形态学操作来去除噪声和填充车牌区域
```python
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (17, 5))
closed = cv2.morphologyEx(binary, cv2.MORPH_CLOSE, kernel)
```
6.在图像中查找车牌区域
```python
contours, hierarchy = cv2.findContours(closed, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for i in range(len(contours)):
cnt = contours[i]
area = cv2.contourArea(cnt)
if area < 2000:
continue
rect = cv2.minAreaRect(cnt)
box = cv2.boxPoints(rect)
box = np.int0(box)
cv2.drawContours(img, [box], 0, (0, 0, 255), 2)
```
7.显示结果
```python
cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
```