AHK调用opencv（二十）opencv中的轮廓 – ahk_v2_beta3

天黑版opencv_ahk.dll使用（改变了调用方式，优化速度…）

相关文件：https://wwz.lanzouw.com/iAkK803eaaud

cv2.ahk和log.ahk来自社区群友zzZ…

可以用文件中的天黑版的v2h版ahk运行。

示例：轮廓

#Dllload lib
#DllLoad opencv_ahk.dll
#include <cv2>
#include <log>
SetWorkingDir A_ScriptDir

;初始化opencv模块
cv := ObjFromPtr(DllCall('opencv_ahk.dll\opencv_init', 'ptr', DllCall(A_AhkPath '\ahkGetApi', 'ptr'), 'cdecl ptr'))
img := cv.imread("image/11.png")
cv.imshow("image", img)

cv.cvtColor(img, img_grey := cv.Mat(), cv2.CV_COLOR_BGR2GRAY)
cv.Canny(img_grey, canny := cv.Mat(), 80.0, 160.0)
k := cv.getStructuringElement(cv2.CV_MORPH_RECT, [3, 3], [-1, -1])
cv.dilate(canny, dilation := cv.MAT(), k)
cv.threshold(dilation, thresh_img := cv.MAT(), 127, 255, cv2.CV_THRESH_BINARY)
cv.findContours(thresh_img, contours := cv.Vector_Vector_Point(), cv2.CV_RETR_TREE, cv2.CV_CHAIN_APPROX_SIMPLE)
cv.drawContours(img, contours, 0, [0,255,0], 3)

;矩
M := cv.moments(contours[0])
m00 := M.m00
log.info('m00：' m00)

;轮廓面积
area := cv.contourArea(contours[0])
log.info('轮廓面积：' area)

;轮廓周长
perimeter := cv.arcLength(contours[0], true)
log.info('轮廓周长：' perimeter)

;轮廓近似
epsilon := 0.01*cv.arcLength(contours[0], true)
cv.approxPolyDP(contours[0], approx := cv.Vector_Point(), epsilon, true)
;cv.drawContours(img, cv.Vector_Vector_Point([approx]), 0, [0, 0, 255], 3)

;凸包
cv.convexHull(contours[0], hull := cv.Vector_Point())
;cv.drawContours(img, cv.Vector_Vector_Point([hull]), 0, [0, 0, 255], 2)

;检查凸度
k := cv.isContourConvex(contours[0])
log.info('凸度：' k)

;直边界矩形（外接矩形）
box := cv.boundingRect(contours[0])
x := box[1]
y := box[2]
w := box[3]
h := box[4]
cv.rectangle(img, [x, y], [x+w, y+h], [0,255,0], 2)
;旋转的边界矩形（最小外接矩形）
rect := cv.minAreaRect(contours[0])
;log.info(rect)
cv.boxPoints(rect, box1 := cv.Vector_Point2f())
cv.polylines(img, cv.Vector_Point(box1.toarray()), true, [0, 255, 255], 1)

;最小外接圆
cv.minEnclosingCircle(contours[0], &center, &radius)
;log.info(center)
;.info(radius)
cv.circle(img, center, radius, [0, 0, 255], 2)

;拟合椭圆
ellipse := cv.fitEllipse(contours[0])
cv.ellipse(img, ellipse, [0,255,0], 2)

;拟合线
cv.fitLine(contours[0], line := cv.vector_float(), cv2.CV_DIST_HUBER, 0, 0.01, 0.01)
;log.info(line[0])
vx := line[0]
vy := line[1]
x  := line[2]
y  := line[3]
lefty  := Integer((-x*vy/vx) + y)
righty := Integer(((img.cols-x)*vy/vx) + y)
cv.line(img, [img.cols-1, righty], [0,lefty], [255,0,0], 2) 

;轮廓属性
;长宽比
box := cv.boundingRect(contours[0])
x := box[1]
y := box[2]
w := box[3]
h := box[4]
aspect_ratio := float(w)/h
log.info('长宽比-(外接矩形)：' aspect_ratio)

;范围
area := cv.contourArea(contours[0])
aspect := cv.boundingRect(contours[0])
w := aspect[2]
h := aspect[3]
rect_area := w*h
extent := float(area)/rect_area
log.info("范围-(轮廓区域与边界矩形区域的比率)：" extent)

;固实性
area := cv.contourArea(contours[0])
cv.convexHull(contours[0], hull := cv.Vector_Point())
hull_area := cv.contourArea(hull)
solidity  := float(area)/hull_area
log.info("固实性-(轮廓面积与其凸包面积的比率)：" solidity)

;等效直径
area := cv.contourArea(contours[0])
equi_diameter := sqrt(4*area/3.141592653589793)
log.info("等效直径-(面积与轮廓面积相同的圆的直径)：" equi_diameter)

;方向
ellipse := cv.fitEllipse(contours[0])
log.info('方向是物体指向的角度：' ellipse[5])

;遮罩和像素点
mask := cv.MAT(img.rows, img.cols, cv2.CV_8UC1, [0, 0, 0]) ;注意单通道
cv.circle(mask, [100, 60], 40, [255, 255, 255], -1)
cv.imshow("image11", mask)
cv.findNonZero(mask, pixelpoints := cv.Vector_Point())
log.info(pixelpoints.toarray())

;最大值，最小值及其位置
cv.minMaxLoc(img_grey, &minVal, &maxVal, &minLoc, &maxLoc)
log.info("最小值：" minVal "最大值：" maxVal "最小位置：" "x:" minLoc[1] "y:" minLoc[2] "最大位置：" "x:" maxLoc[1] "y:" maxLoc[2])

;平均颜色或平均强度(BGR)
mean_val := cv.mean(img, mask)
log.info(mean_val)

;极端点
log.info(contours[0].toarray())
x_array := []
y_array := []
max_right := 0
max_left  := 9999
max_top   := 9999
max_bot   := 0
loop contours[0].Size{
    x_array.push(contours[0][A_Index-1][1])
    y_array.push(contours[0][A_Index-1][2])
    if x_array[A_Index] > max_right{
        max_right := x_array[A_Index]
        max_right_y := contours[0][A_Index-1][2]
    }
    if x_array[A_Index] < max_left{
        max_left := x_array[A_Index]
        max_left_y := contours[0][A_Index-1][2]
    }
    if y_array[A_Index] > max_bot{
        max_bot := y_array[A_Index]
        max_bot_x := contours[0][A_Index-1][1]
    }
    if y_array[A_Index] < max_top{
        max_top := y_array[A_Index]
        max_top_x := contours[0][A_Index-1][1]
    }
}
log.info('最右侧点：' max_right ' ' max_right_y)
log.info('最顶部点：' max_bot_x ' ' max_bot)
log.info('最左侧点：' max_left ' ' max_left_y)
log.info('最底部点：' max_top_x ' ' max_top)
cv.circle(img, [max_right, max_right_y], 5, [0, 0, 255], -1)
cv.circle(img, [max_bot_x, max_bot], 5, [0, 0, 255], -1)
cv.circle(img, [max_left, max_left_y], 5, [0, 0, 255], -1)
cv.circle(img, [max_top_x, max_top], 5, [0, 0, 255], -1)

cv.imshow("image1", img)
cv.waitKey()
cv.destroyAllWindows()

匹配形状

#Dllload lib
#DllLoad opencv_ahk.dll
#include <cv2>
#include <log>
SetWorkingDir A_ScriptDir

;初始化opencv模块
cv := ObjFromPtr(DllCall('opencv_ahk.dll\opencv_init', 'ptr', DllCall(A_AhkPath '\ahkGetApi', 'ptr'), 'cdecl ptr'))
img1 := cv.imread("image/111.png")
img2 := cv.imread("image/123.png")

cv.imshow("image", img2)

cv.cvtColor(img1, img_grey1 := cv.Mat(), cv2.CV_COLOR_BGR2GRAY)
cv.threshold(img_grey1, thresh_img1 := cv.MAT(), 127, 255, cv2.CV_THRESH_BINARY)
cv.findContours(thresh_img1, contours1 := cv.Vector_Vector_Point(), cv2.CV_RETR_TREE, cv2.CV_CHAIN_APPROX_SIMPLE)
cv.drawContours(img1, contours1, 0, [0, 0, 255], 3)

cv.cvtColor(img2, img_grey2 := cv.Mat(), cv2.CV_COLOR_BGR2GRAY)
cv.threshold(img_grey2, thresh_img2 := cv.MAT(), 127, 255, cv2.CV_THRESH_BINARY)
cv.findContours(thresh_img2, contours2 := cv.Vector_Vector_Point(), cv2.CV_RETR_TREE, cv2.CV_CHAIN_APPROX_SIMPLE)

cnt1 := contours1[0]
loop 3{
    M := cv.moments(contours2[A_Index-1])
    cx := Integer(M.m10/M.m00)
    cy := Integer(M.m01/M.m00)
    cv.circle(img2, [cx, cy], 3, [0, 0, 255], -1)
    cnt2 := contours2[A_Index-1]
    cv.drawContours(img2, contours2, A_Index-1, [0, 0, 255], 3)
    ret := cv.matchShapes(cnt1, cnt2, 1, 0.0)
    cv.putText(img2, ret, [cx, cy], 0, 0.5, [255, 0, 255], 1)
    log.info(ret)
}

cv.imshow("image1", img1)
cv.imshow("image2", img2)

cv.waitKey()
cv.destroyAllWindows()

有错误请联系我改正！

天黑主项目地址：https://github.com/thqby/opencv_ahk

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