import numpy as np
import argparse
import cv2

def searchReferencePointCorner(image):

    height = image.shape[0]
    width = image.shape[1]
    # Obróbka graficzna dla wyostrzenia konturów
    edged = cv2.Canny(image, 20, 200)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    thresh = cv2.threshold(edged, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]

    # Szukanie konturów oraz koordynatów punktu odniesienia
    threshold_max_area = 60000
    threshold_min_area = 20000
    cnts = cv2.findContours(edged, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    cnts = cnts[0] if len(cnts) == 2 else cnts[1]
    for c in cnts:
        peri = cv2.arcLength(c, True)
        approx = cv2.approxPolyDP(c, 0.035 * peri, True)
        x, y, w, h = cv2.boundingRect(approx)
        aspect_ratio = w / float(h)
        area = cv2.contourArea(c)

        if len(approx) == 4 and area < threshold_max_area and area > threshold_min_area and (aspect_ratio >= 0.9 and aspect_ratio <= 1.1):
            # Prawy górny róg
            if x > width * 0.80 and y < height * 0.20:
                cv2.rectangle(image, (x, y), (x + w, y + h), (36, 255, 12), 2)
                return image, x, y