使用“histogram.get_threhsold()”函数后怎么传给“ img.binary”

[15659670865]

想使用OTSU算法，找到了“histogram.get_threhsold()”函数，但是在传参数的时候一直报错，希望大佬解救

[kidswong999]

如果涉及代码，需要报错提示与全部代码文本，请注意不要贴代码图片

[15659670865]

import sensor, image, time,machine
from pyb import LED

sensor.reset()
sensor.set_vflip(False)
sensor.set_hmirror(False)
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA) # 80x60 (4,800 pixels) - O(N^2) max = 2,3040,000.
#sensor.set_windowing([0,20,80,40])
sensor.skip_frames(time = 2000)     # WARNING: If you use QQVGA it may take seconds
clock = time.clock()                # to process a frame sometimes.


LED(1).on()
LED(2).on()
LED(3).on()


while(True):
    clock.tick()
    img = sensor.snapshot().lens_corr(strength = 0.5, zoom = 1.0)
    #img=sensor.snapshot().save("lvbo_2.jpg")  #获取图像
    img.bilateral(3,color_sigma=0.1,space_sigma=0.1)#采用双边滤波
    img.gaussian(3, unsharp=True,)#图像消除锐化
    histogram = img.get_histogram()
    Thresholds = histogram.get_threshold()
    img.binary(threshold)
    print(Thresholds)



    #line = img.get_regression([(100,100,0,0,0,0)], robust = True)

    #if(line):img.draw_line(line.line(), color = 127)

    #print(clock.fps()

[kidswong999]

你可以试试这个：

    Thresholds = histogram.get_threshold()
    l = Thresholds.l_value()
    a = Thresholds.a_value()
    b = Thresholds.b_value()
    print(Thresholds)
    img.binary([(0, l), (-128, a),(-128, b)])

[15659670865]

@kidswong999 ok了！！！ 完美的想哭， 我换成灰度图了