阈值的求解（两峰之间）

迈不过友情╰ 2023-10-02 12:18 6阅读 0赞

import cv2
    import numpy as np
    image=cv2.imread('4.jpg')
    # image=cv2.resize(image1,(200,200))
    image_gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
    w,h=image_gray.shape
    px_count=np.zeros(256)
    
    #照片长、宽分别是w,h
    for w_w in range(w):
        for h_h in range(h):
            px_count[image_gray[w_w,h_h]]+=1
    # print(px_count)
    
    #找最大次数（最大峰）
    max_index=np.argmax(px_count,axis=0)
    
    #找次大峰
    px_count[max_index]*=-1
    next_max_index=np.argmax(px_count,axis=0)
    px_count[next_max_index]*=-1
    
    #找谷值
    if max_index>next_max_index:
        min_index=np.agrmin(px_count[next_max_index:max_index+1],axis=0)
        min_index+=next_max_index
    else:
        min_index=np.argmin(px_count[max_index:next_max_index+1],axis=0)
        min_index+=max_index
    #TODO.1
    # image_gray 上面转换为黑白的照片；
    # min_index  谷值
    #0~255 代表不同的颜色，min_index为阈值，大于阈值的全部置为255（白色）
    _,image_binary=cv2.threshold(image_gray,min_index,255,cv2.THRESH_BINARY)
    cv2.imshow('the original image',image)
    cv2.imshow('black and white figure',image_gray)
    cv2.imshow('the threshold figure',image_binary)
    if cv2.waitKey(0)&0xFF==27:
        cv2.destroyAllWindows()

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4.jpg

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