find_local_deformable_model_three_squirrel.hdev代码尝试修改

dev_update_off ()read_image (ModelImage, 'ref2.tif')rgb1_to_gray (ModelImage,ModelImage )dev_close_window ()dev_open_window_fit_image (ModelImage, 0, 0, -1, -1, WindowHandle)set_display_font (WindowHandle, 16, 'mono', 'true', 'false')* * Create and display the local deformable modelcreate_local_deformable_model (ModelImage, 'auto', rad(-15), rad(30), 'auto', 1, 1, 'auto', 1, 1, 'auto', 'none', 'use_polarity', [15,35], 'auto', [], [], ModelID)get_deformable_model_contours (ModelContours, ModelID, 1)area_center (ModelImage, Area, Row, Column)hom_mat2d_identity (HomMat2DIdentity)hom_mat2d_translate (HomMat2DIdentity, Row, Column, HomMat2DTranslate)affine_trans_contour_xld (ModelContours, ContoursAffinTrans, HomMat2DTranslate)dev_set_line_width (2)dev_set_color ('yellow')dev_display (ModelImage)dev_display (ContoursAffinTrans)disp_message (WindowHandle, 'Model image and contours', 'window', 12, 12, 'black', 'true')disp_continue_message (WindowHandle, 'black', 'true')stop ()* Smoothness := 19NumImages := 5for Index := 2 to NumImages by 1    read_image (Image, Index+'.tif')    dev_resize_window_fit_image (Image, 0, 0, -1, -1)    dev_display (Image)    disp_message (WindowHandle, 'Search ...', 'window', 12, 12, 'black', 'true')    count_seconds (S1)    * Find the model in the deformed search image.    * As result, the rectified image, the respective    * vector field, and the found contours are queried.    find_local_deformable_model (Image, ImageRectified, VectorField, DeformedContours, ModelID, rad(-5), rad(18), 1, 1, 1, 1, 0.78, 0, 0, 0, 0.45, ['image_rectified','vector_field','deformed_contours'], ['deformation_smoothness','expand_border','subpixel'], [Smoothness,0,0], Score, Row, Column)    count_seconds (S2)    Time := S2 - S1    * Visualize the deformation as a mesh generated from    * the returned vector field    gen_warped_mesh (VectorField, WarpedMesh, Smoothness / 2)    dev_set_line_width (1)    dev_set_color ('yellow')    dev_display (WarpedMesh)    Found[Index] := |Score|    dev_set_line_width (2)    dev_set_color ('green')    dev_display (DeformedContours)    disp_message (WindowHandle, |Score| + ' matches found in ' + Time$'1.2f' + ' s', 'window', 12, 12, 'black', 'true')    for J := 0 to |Score| - 1 by 1        disp_message (WindowHandle, 'Score: ' + Score[J]$'.2f', 'image', 350, Column[J] - 80, 'black', 'true')    endfor    if (Index < NumImages)        disp_continue_message (WindowHandle, 'black', 'true')        stop ()    endifendfor* * Clean upclear_deformable_model (ModelID)

by SRT

从这个可以看出将要处理的图片

create_local_deformable_model (ModelImage, 'auto', rad(-15), rad(30), 'auto', 1, 1, 'auto', 1, 1, 'auto', 'none', 'use_polarity', [15,35], 'auto', [], [], ModelID)

find_local_deformable_model (Image, ImageRectified, VectorField, DeformedContours, ModelID, rad(-5), rad(18), 1, 1, 1, 1, 0.78, 0, 0, 0, 0.45, ['image_rectified','vector_field','deformed_contours'], ['deformation_smoothness','expand_border','subpixel'], [Smoothness,0,0], Score, Row, Column)

 

仍然以这两个为主要代码

下面上图，参数调整了很多但速度还是不快，图片一张4.8MB比较大了，我考虑回头加上小波压缩这类压缩算法看看结果。