我正在做一个项目，我需要确定从摄像机实时饲料中圆圈的位置。
我已经设法让这种运行，但我得到了一个奇怪的抖动与识别的圆圈，有时一个圆圈是不承认在所有。
下面是一个例子：

我用于编辑图像的功能是：

def preprocess_image(self):
        self.image = cv2.cvtColor(self.image, cv2.COLOR_BGR2GRAY)
        
        # apply GuassianBlur to reduce noise. medianBlur is also added for smoothening, reducing noise.
        self.image = cv2.GaussianBlur(self.image,(5,5),0);
        self.image = cv2.medianBlur(self.image,5)
        
        # Adaptive Guassian Threshold is to detect sharp edges in the Image. For more information Google it.
        self.image = cv2.adaptiveThreshold(self.image,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,\
                cv2.THRESH_BINARY,11,3.5)
        
        kernel = np.ones((2,2),np.uint8)
        self.image = cv2.erode(self.image,kernel,iterations = 1) # gray = erosion
        self.image = cv2.dilate(self.image,kernel,iterations = 1) # gray = dilation

检测圆的方法为：

def get_circles(self):
        rows = self.image.shape[0] # width of the image (1280)
        # detect circles in the image
        self.circles = cv2.HoughCircles(
            self.image, 
            cv2.HOUGH_GRADIENT, 
            1, 
            rows / 8, 
            param1=self.parameters["param1"], 
            param2=self.parameters["param2"], 
            minRadius=self.parameters["minRadius"], 
            maxRadius=self.parameters["maxRadius"]
        )

        if self.circles is None: return None
        self.circles = np.round(self.circles[0, :]).astype("int")

如何消除这种抖动以及有时无法识别圆圈的问题？