Question

此代码有效，但当网络摄像头面向有光的区域时，它也会将其识别为激光指示器。我想要的帮助是消除那些噪音，只识别激光指示器。enter image description here这张照片显示了它在面具中的样子，但是没有光线条件。到目前为止，这是我的代码：

cap = cv2.VideoCapture(0)

    while True:
        ret, main = cap.read()

        hsv = cv2.cvtColor(main, cv2.COLOR_BGR2HSV)
        gray = cv2.cvtColor(main, cv2.COLOR_BGR2GRAY)

        lower_laserdot = np.array([0, 0, 255]) 
        upper_laserdot = np.array([255, 255, 255])

        threshold = cv2.inRange(hsv, lower_laserdot, upper_laserdot)
        circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 700, param1 
= 50, param2 = 30, minRadius = 0, maxRadius = 0)

        threshcopy = threshold.copy()
        _, find, _ = cv2.findContours(threshcopy, cv2.RETR_LIST, 
cv2.CHAIN_APPROX_SIMPLE)

        maxarea = 1
        bestcnt = 1

        for cnt in find:
            area = cv2.contourArea(cnt)
            if area > maxarea:
                maxarea = area
                bestcnt = cnt

        M = cv2.moments(bestcnt)
        x, y = int(M['m10']/M['m00']), int(M['m01']/M['m00'])

        if circles is not None:
            circles = np.round(circles[0, :]).astype("int")
            for(cx,cy,r) in circles:
                if x > 0 or y > 0:
                    print('A laser dot has been detected')
        cv2.imshow('mask', threshold)
        rs = cv2.resize(main, (1365, 730))
        cv2.imshow('main', rs)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    cap.release()
    cv2.destroyAllWindows()

Answer 1

假设它是红点，仅过滤红色色调（例如Hue <25和Hue> 230）。您还可以增加图像的对比度，因为激光很可能是图片中最高强度的颜色。

我想在不同的光照条件下检测激光光斑（圆圈）

1 个答案: