python+opencv阈值分割

最新推荐文章于 2025-07-14 09:17:03 发布

原创最新推荐文章于 2025-07-14 09:17:03 发布 · 783 阅读

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本文介绍了一种基于阈值的图像分割技术，通过调整阈值实现图像的黑白化处理，利用OpenCV库读取图像并进行实时阈值分割，展示了如何使用轨迹条交互式调整阈值，以达到理想的分割效果。

'''
threshold segmentation
'''
import cv2
import imutils
import numpy as np

def threshold_seg(args):
    ''''''
    threshold = cv2.getTrackbarPos(trackbar_name1, wname)
    cimg = np.ones(img.shape, dtype=np.uint8)
    cimg[img <= threshold] = 0
    cimg[img > threshold] = 255
    cv2.imshow(wname, cimg)
if __name__ == '__main__':
    wname = 'threshold segmentation'
    trackbar_name1 = 'threshold'
    img = cv2.imread("./img_1596.png", 0)
    cv2.imshow('img', img)

    cv2.namedWindow(wname)
    cv2.createTrackbar(trackbar_name1, wname, 100, 255, threshold_seg)

    threshold_seg(0)
    if cv2.waitKey(0) == 27:
        cv2.destroyAllWindows()