Halcon's practice based on shape template matching [1]

According to the clip, carry out the actual combat based on the shape template matching

 1、 Open the menu bar assistant Matching assistant

2、 Click acquisition assistant -- Enter the image acquisition interface -- Click the automatic detection interface

3、 Click to connect -- real time

4、 With Clip For example , You can see that there is a clip in the image window

 5、 Click on the rotating rectangle of the template's region of interest , Create a template for the clip

 6、 Click the application interface , Switch based on shape -- Click image acquisition assistant -- Click on the real-time image  

 

It can be seen here that no matter how many clips are placed, they can be matched according to the shape

 7、 Click execute on the detection interface , You can see some statistical data  

8、 Click code generation , You can choose to generate display code / Correction code

 9、 You can see the generated code in the program window

* 
* Matching 01: ************************************************
* Matching 01: BEGIN of generated code for model initialization
* Matching 01: ************************************************
set_system ('border_shape_models', 'false')
* 
* Matching 01: Initialize acquisition
open_framegrabber ('DirectShow', 1, 1, 0, 0, 0, 0, 'default', 8, 'rgb', -1, 'false', 'default', '[0] Web Camera', 0, -1, AcqHandle)
* 
* Matching 01: Obtain the model image
grab_image (Image, AcqHandle)
* 
* Matching 01: Build the ROI from basic regions
gen_rectangle2 (ModelRegion, 356.886, 1166.06, rad(-92.8126), 121.142, 84.885)
* 
* Matching 01: Reduce the model template
reduce_domain (Image, ModelRegion, TemplateImage)
* 
* Matching 01: Create the shape model
create_shape_model (TemplateImage, 6, rad(0), rad(360), rad(0.8586), ['none','no_pregeneration'], 'use_polarity', [7,31,12], 4, ModelID)
* 
* Matching 01: Get the model contour for transforming it later into the image
get_shape_model_contours (ModelContours, ModelID, 1)
* 
* Matching 01: Get the reference position
area_center (ModelRegion, ModelRegionArea, RefRow, RefColumn)
vector_angle_to_rigid (0, 0, 0, RefRow, RefColumn, 0, HomMat2D)
affine_trans_contour_xld (ModelContours, TransContours, HomMat2D)
* 
* Matching 01: Display the model contours
dev_display (Image)
dev_set_color ('green')
dev_set_draw ('margin')
dev_display (ModelRegion)
dev_display (TransContours)
stop ()
* 
* Matching 01: END of generated code for model initialization
* Matching 01:  * * * * * * * * * * * * * * * * * * * * * * *
* Matching 01: BEGIN of generated code for model application
* 
while (true)
    * 
    * Matching 01: Obtain the image
    grab_image (Image, AcqHandle)
    * 
    * Matching 01: Find the model
    find_shape_model (Image, ModelID, rad(0), rad(360), 0.5, 0, 0.5, 'least_squares', [6,1], 0.75, Row, Column, Angle, Score)
    * 
    * Matching 01: Transform the model contours into the detected positions
    dev_display (Image)
    for I := 0 to |Score| - 1 by 1
        hom_mat2d_identity (HomMat2D)
        hom_mat2d_rotate (HomMat2D, Angle[I], 0, 0, HomMat2D)
        hom_mat2d_translate (HomMat2D, Row[I], Column[I], HomMat2D)
        affine_trans_contour_xld (ModelContours, TransContours, HomMat2D)
        dev_set_color ('green')
        dev_display (TransContours)
        stop ()
    endfor
endwhile
* 
* Matching 01: Clear model when done
stop ()
clear_shape_model (ModelID)
* Matching 01: *******************************************
* Matching 01: END of generated code for model application
* Matching 01: *******************************************
*