def chuli(color):
    import cv2
    import numpy as np
    # 定義顏色名稱到HSV閾值范圍的映射
    color_thresholds = {
        'red': ([0, 100, 100], [10, 255, 255], [160, 100, 100], [180, 255, 255]),
        'yellow': ([20, 100, 100], [30, 255, 255]),
        'blue': ([90, 100, 100], [130, 255, 255])
    }
    # 讀取圖片
    image = cv2.imread('captcha.png')
    # 將圖片從BGR轉換到HSV顏色空間
    hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    # 獲取用戶輸入的顏色名稱
    color_name = color.lower()
    # 檢查顏色名稱是否在映射中
    if color_name in color_thresholds:
        # 獲取該顏色的HSV閾值范圍
        thresholds = color_thresholds[color_name]
        # 創(chuàng)建掩碼
        mask = None
        for i in range(0, len(thresholds), 2):
            lower = np.array(thresholds[i])
            upper = np.array(thresholds[i + 1])
            mask_color = cv2.inRange(hsv_image, lower, upper)
            if mask is None:
                mask = mask_color
            else:
                mask = cv2.bitwise_or(mask, mask_color)
        # 對掩碼進行膨脹和腐蝕
        mask = cv2.dilate(mask, None, iterations=2)
        mask = cv2.erode(mask, None, iterations=2)
        # 使用掩碼提取原圖中的顏色區(qū)域
        result = cv2.bitwise_and(image, image, mask=mask)
        # 保存結果為圖片
        result_filename = 'detected.png'
        cv2.imwrite(result_filename, result)
        print(f"Result saved as {result_filename}")
    else:
        print("Invalid color name. Please choose from 'red', 'yellow', or 'blue'.")
chuli('blue')