多模板的模板匹配Halcon

原圖一

模板一

原圖2

 

模板2

原圖3

 模板3

目標圖

代碼：

* This example program shows how to use HALCON's shape-based matching
* to find multiple different models in one call to find_shape_models.  Note that this
* is one mode of operation that is frequently useful.  However, the number of
* applications that can be solved with this mechanism is much larger.  For
* another application where finding multiple models in one call is useful are
* applications where the same object can only occur in small angle ranges
* around a discrete set of angles, e.g., 0°, 90°, 180°, and 270°.  In these cases,
* it would be wasteful to train the model for the full 360° rotation range and to
* match the model in this range.  Instead, four models using the small angle
* ranges around the discrete set of angles should be generated from the same
* model image and used in the matching stage using four different angle ranges.

dev_update_pc ('off')
dev_update_window ('off')
dev_update_var ('off')
dev_close_window ()
dev_open_window (0, 0, 646, 482, 'black', WindowHandle)
dev_set_part (0, 0, 481, 645)
set_display_font (WindowHandle, 20, 'mono', 'true', 'false')
dev_set_draw ('margin')
dev_set_line_width (3)
* These colors will be used to graphically discern the different models in the
* visualization code below.
Colors := ['red','green','cyan']
* The models will be generated from hard-coded rectangles given by the
* following coordinates:
Row1 := [135,150,185]
Column1 := [250,170,220]
Row2 := [375,310,335]
Column2 := [355,395,375]
* The object Models will hold a set of XLD contours that represent the different
* models.  They are used below to overlay the found models on the current
* image.  XLD contours are used because they can be transformed much faster
* than regions.  This creates a slight problem because in general multiple XLD
* contours will represent one model.  Therefore, the start and end indices of the
* different models will be stored in IndexS and IndexE, respectively.
gen_empty_obj (Models)
IndexS := []
IndexE := []
* The variable ModelIDs holds the different models that are created below.
ModelIDs := []
* Likewise, RowsRef and ColumnsRef store the reference points of the different
* models.  They are necessary to transform the models to the found instances
* in the current image.
for J := 1 to 3 by 1
    read_image (Image, 'metal-parts/metal-part-model-' + J$'02d')
    dev_display (Image)
    dev_set_color ('green')
    set_tposition (WindowHandle, 20, 20)
    write_string (WindowHandle, 'Generating shape model ' + J$'d')
    gen_rectangle1 (Rectangle, Row1[J - 1], Column1[J - 1], Row2[J - 1], Column2[J - 1])
    area_center (Rectangle, Area, Row, Column)
    reduce_domain (Image, Rectangle, ImageReduced)
    * Although we will use get_shape_model_contours below to obtain the
    * representation of the model, we extract a model representation here using
    * inspect_shape_model because this enables us to display the representation
    * of the model while the model is being created.
    inspect_shape_model (Image, ModelImages, ModelRegions, 1, 30)
    * Since the shape models contain a few extraneous edges, they will be
    * removed here to give a slightly nicer visualization.
    connection (ModelRegions, ConnectedRegions)
    select_shape (ConnectedRegions, SelectedRegions, 'area', 'and', 20, 100000)
    union1 (SelectedRegions, ModelRegions)
    gen_contours_skeleton_xld (ModelRegions, ModelContours, 1, 'filter')
    dev_set_color ('red')
    dev_display (ModelContours)
    create_shape_model (ImageReduced, 5, rad(0), rad(360), 'auto', 'pregeneration', 'use_polarity', 30, 7, ModelID)
    get_shape_model_contours (ModelCont, ModelID, 1)
    select_shape_xld (ModelCont, ModelContours, 'contlength', 'and', 20, 1000)
    * Count how many XLD contours there are in the current model and in the
    * already stored models.  This is necessary to compute IndexS and IndexE.
    count_obj (ModelContours, NumModel)
    count_obj (Models, NumModels)
    concat_obj (Models, ModelContours, Models)
    IndexS := [IndexS,NumModels + 1]
    IndexE := [IndexE,NumModels + NumModel]
    ModelIDs := [ModelIDs,ModelID]
endfor
dev_set_color ('yellow')
set_tposition (WindowHandle, 50, 20)
write_string (WindowHandle, 'Press left button to start')
set_tposition (WindowHandle, 80, 20)
write_string (WindowHandle, 'and stop the demo.')
get_mbutton (WindowHandle, Row3, Column3, Button1)
wait_seconds (0.5)
dev_set_color ('red')
Button := 0
ImgNo := 1
while (Button != 1)
    read_image (Image, 'metal-parts/metal-parts-' + ImgNo$'02d')
    count_seconds (S1)
    find_shape_models (Image, ModelIDs, rad(0), rad(360), 0.5, 0, 0.5, 'least_squares', 0, 0.8, Row, Column, Angle, Score, Model)
    count_seconds (S2)
    Time := (S2 - S1) * 1000
    dev_display (Image)
    Num := |Score|
    for J := 0 to Num - 1 by 1
        * Select the correct XLD contours from the Models object.
        copy_obj (Models, ModelSelected, IndexS[Model[J]], IndexE[Model[J]] - IndexS[Model[J]] + 1)
        * Compute the transformation from the model object to the current instance.
        vector_angle_to_rigid (0, 0, 0, Row[J], Column[J], Angle[J], HomMat2D)
        affine_trans_contour_xld (ModelSelected, ModelTrans, HomMat2D)
        dev_set_color (Colors[Model[J]])
        dev_display (ModelTrans)
    endfor
    dev_set_color ('yellow')
    set_tposition (WindowHandle, 20, 20)
    if (Num == 1)
        write_string (WindowHandle, Num$'1d' + ' object found in ' + Time$'4.2f' + 'ms')
    else
        write_string (WindowHandle, Num$'1d' + ' objects found in ' + Time$'4.2f' + 'ms')
    endif
    ImgNo := ImgNo + 1
    if (ImgNo > 15)
        ImgNo := 1
    endif
    dev_error_var (Error, 1)
    dev_set_check ('~give_error')
    get_mposition (WindowHandle, R, C, Button)
    dev_error_var (Error, 0)
    dev_set_check ('give_error')
    if (Error != H_MSG_TRUE)
        Button := 0
    endif
endwhile
for J := 0 to |ModelIDs| - 1 by 1
    clear_shape_model (ModelIDs[J])
endfor