# Basic Functions

## :pushpin: Making gray the picture

```python
import cv2

img = cv2.imread("Resources/Wally.jpg")

imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

cv2.imshow("Gray Image", imgGray)
cv2.waitKey(0)
```

## :pushpin: Blur image

{% hint style="success" %}
ksize = kernelSize of matrix which is (7, 7) in our case.
{% endhint %}

{% hint style="success" %}
xSigma = 0, when you increase the value of xSigma you basically get more blur.
{% endhint %}

```
imgBlur = cv2.GaussianBlur(imgGray, (7,7), 0) #imgGray is the source picture
cv2.imshow("Blur Image", imgBlur)
```

## :pushpin: Canny Edge Detection

```
imgCanny = cv2.Canny(img,100,100)
```

##  :pushpin: Image Dialation

{% hint style="success" %}
We need a little bit matrix here, therefore, we're gonna import another package which is called numpy
{% endhint %}

```
import numpy as np
kernel = np.ones((5,5),np.uint8)
imgDialation = cv2.dilate(imgCanny, kernel, iterations=1)
cv2.imshow("Dialation Image", imgDialation)
```

## :pushpin: Opposite of Dialation = Eroded Image

```
kernel = np.ones((5,5), np.uint8)
imgEroded = cv2.erode(imgDialation, kernel, iterations=1)
```


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