70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
import cv2
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import numpy as np
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import os
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# 读取输入图像
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image = cv2.imread('input.jpg')
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# 检查图像是否读取成功
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if image is None:
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print("无法读取 input.jpg，请确保文件存在且路径正确。")
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exit()
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# 获取图像的尺寸
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height, width = image.shape[:2]
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# 创建四个掩码，初始化为全黑
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mask1 = np.zeros((height, width), dtype=np.uint8)
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mask2 = np.zeros((height, width), dtype=np.uint8)
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mask3 = np.zeros((height, width), dtype=np.uint8)
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mask4 = np.zeros((height, width), dtype=np.uint8)
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# 定义两条曲线，用于将图像分割成四部分
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x = np.arange(width)
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# 第一条曲线（例如，正弦函数）
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frequency1 = 2 * np.pi / width
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amplitude1 = height / 4
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y1 = (height / 2) + amplitude1 * np.sin(frequency1 * x)
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# 第二条曲线（例如，余弦函数）
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frequency2 = 4 * np.pi / width
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amplitude2 = height / 6
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y2 = (height / 2) + amplitude2 * np.cos(frequency2 * x)
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# 确保y值在图像高度范围内
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y1 = np.clip(y1, 0, height - 1)
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y2 = np.clip(y2, 0, height - 1)
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# 绘制第一个区域的掩码（曲线 y1 以上的区域）
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for i in range(width):
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cv2.line(mask1, (i, 0), (i, int(y1[i])), 255)
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# 绘制第二个区域的掩码（曲线 y1 和 y2 之间的区域）
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for i in range(width):
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y_top = int(min(y1[i], y2[i]))
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y_bottom = int(max(y1[i], y2[i]))
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cv2.line(mask2, (i, y_top), (i, y_bottom), 255)
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# 绘制第三个区域的掩码（曲线 y2 以下的区域）
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for i in range(width):
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cv2.line(mask3, (i, int(y2[i])), (i, height), 255)
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# 绘制第四个区域的掩码（剩余区域）
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mask4 = cv2.bitwise_not(cv2.bitwise_or(cv2.bitwise_or(mask1, mask2), mask3))
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# 创建掩码列表
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masks = [mask1, mask2, mask3, mask4]
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# 确保输出目录存在
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output_dir = 'output'
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if not os.path.exists(output_dir):
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os.makedirs(output_dir)
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# 应用掩码并保存图片
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for idx, mask in enumerate(masks):
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img_part = cv2.bitwise_and(image, image, mask=mask)
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cv2.imwrite(os.path.join(output_dir, f'output{idx+1}.png'), img_part)
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print("图片已成功切割成4张，并保存到 'output' 目录下。")
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