How to decrease sensitivity when detecting objects in image. [closed]

edit

I am trying to measure the size of an object in the image, but the code I am working with is only looking for the details in the picture and not the object I want. Here is my code:

edged = cv2.Canny(gray, 50, 20) #50 and 20 are tshld one and two
edged = cv2.dilate(edged, None, iterations=1)
edged = cv2.erode(edged, None, iterations=1)

cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,
    cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)

(cnts, _) = contours.sort_contours(cnts)
pixelsPerMetric = None

for c in cnts:
    # if the contour is not sufficiently large, ignore it
    if cv2.contourArea(c) < 60: 
        continue

    orig = image.copy()
    box = cv2.minAreaRect(c)
    box = cv2.cv.BoxPoints(box) if imutils.is_cv2() else cv2.boxPoints(box)
    box = np.array(box, dtype="int")

    box = perspective.order_points(box)
   cv2.drawContours(orig, [box.astype("int")], -1, (0, 255, 0), 3)

Note: the image below is the result of my code. I want to be able to detect the green target and measure it's dimensions. However, the box is only enclosing small portions of the image and not the entire target. If I should post entire code, let me know!

Thanks!