mirror of
https://github.com/NanjingForestryUniversity/supermachine--tomato-passion_fruit.git
synced 2025-11-09 06:44:02 +00:00
56 lines
1.5 KiB
Python
56 lines
1.5 KiB
Python
import cv2
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import numpy as np
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def find_reflection(image_path, threshold=190):
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# 读取图像
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image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
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# 应用阈值分割
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_, reflection = cv2.threshold(image, threshold, 255, cv2.THRESH_BINARY)
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return reflection
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def repair_reflection_telea(image_path, reflection, inpaint_radius=20):
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# 读取图像
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image = cv2.imread(image_path)
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# 将高亮区域转换为二值图像
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_, reflection_binary = cv2.threshold(reflection, 1, 255, cv2.THRESH_BINARY)
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# 使用inpaint函数修复高亮区域
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repaired_image = cv2.inpaint(image, reflection_binary, inpaint_radius, cv2.INPAINT_TELEA)
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return repaired_image
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# 读取图像
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image_path = '/Users/xs/PycharmProjects/super-tomato/tomato_img_25/60.bmp' # 替换为你的图像路径
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image = find_reflection(image_path)
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cv2.imshow('image', image)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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# 修复反光
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image = repair_reflection_telea(image_path, image)
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cv2.imshow('ima11ge', cv2.imread(image_path))
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# 创建窗口
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cv2.namedWindow('image')
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# 创建滑动条
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cv2.createTrackbar('Threshold', 'image', 0, 255, lambda x: None)
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while True:
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# 获取滑动条的值
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threshold = cv2.getTrackbarPos('Threshold', 'image')
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# 使用阈值进行分割
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_, thresholded_image = cv2.threshold(image, threshold, 255, cv2.THRESH_BINARY)
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# 显示二值图像
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cv2.imshow('image', thresholded_image)
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# 按下'q'键退出循环
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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# 销毁所有窗口
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cv2.destroyAllWindows() |