Halcon combined with C ＃ to detect surface defects -- affine transformation (III)

The columns in this series are not directed to code , I need to state this , It mainly provides the idea of building visual inspection software , Tell us how to program , How to achieve detection , The code covered in this article is not unique , Just the sample , We can draw inferences from one example .

The previous article discussed the rotation matrix , In this article, we add an offset matrix to the rotation matrix .

But it is a bit troublesome to use the matrix step by step , So today we introduce a function that can complete rotation and offset at the same time

Row1,Column1,Angle1 Are the initial coordinates and angles

Row2,Column2,Angle2 Is the coordinate and angle to be rotated

So modify the code as follows

Run the test

 

The detection area changes with the position and angle of the template

It will be very simple for us to do the test again , Just process the contents of the detection area ,

Let's take a look at the detection process

1. Camera drawing

2. Template matching

3. Rotate the detection area

4. Call the algorithm to detect the dirt in the area or measure the size

5. Output NG perhaps OK

6. By communication or IO Output results and data

7. Update report

7. Control motion system action, etc

The above process is that we can all winform To realize .

Here I add the code in the manual selection of the image , You can directly copy it to the corresponding camera callback function .

We wrote a test method before , In the next article, we'll put the detection method in ........