#Region Base
#AutoIt3Wrapper_UseX64=y
#include "autoit_opencv_com-4.5.4\udf\opencv_udf_utils.au3"
_OpenCV_Open_And_Register(_OpenCV_FindDLL("opencv_world4*", Default, "opencv-4.5.4"), _OpenCV_FindDLL("autoit_opencv_com4*", Default, "autoit_opencv_com-4.5.4"))
#EndRegion Base

Local $cv = _OpenCV_get()

If IsObj($cv) Then
    Local $img1 = $cv.imread("pic\strawberry.jpg", $CV_IMREAD_UNCHANGED)
    ;$cv.imshow('$img1', $img1)
	$brows = $img1.rows
    $bcols = $img1.cols

	Local $img2 = $cv.imread("pic\Lena.png", $CV_IMREAD_UNCHANGED)
	;$cv.imshow('$img2', $img2)
	$rows = $img2.rows
    $cols = $img2.cols
	$img2gray = $cv.cvtColor($img2, $CV_COLOR_RGB2GRAY)
	$cv.threshold($img2gray, 10, 255, $CV_THRESH_BINARY)
    $mask = $cv.extended[1]
    $mask_inv = $cv.bitwise_not($mask)
	;$cv.imshow('mask_inv', $mask_inv)

	Local $rect[4] = [($bcols-$cols)/2, ($brows-$rows)/2, $cols, $rows]
	$roi = ObjCreate("OpenCV.cv.Mat").create($img1, $rect)

	$img1_bg = $cv.bitwise_and($roi, $roi, $mask_inv)
	;$cv.imshow('$img1_bg', $img1_bg)

	$img2_fg = $cv.bitwise_and($img2, $img2, $mask)
	;$cv.imshow('$img2_fg', $img2_fg)

    $dst = $cv.add($img1_bg, $img2_fg)
	$dst.copyTo($roi)
    $cv.imshow('$img1', $img1)
    $cv.waitKey()

EndIf

_OpenCV_Unregister_And_Close()