例程讲解-03-grayscale_bilateral_filter灰度图双边滤波

# 灰度滤波例程
# 此示例显示如何从图像中删除明亮的灯光。
# 您可以使用带有“zero =”参数的binary()方法执行此操作。

# 从图像中删除明亮的光线允许您在图像上使用histeq()，
# 而不会使图像的过饱和部分的异常值破坏算法...

import sensor, image, time

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.GRAYSCALE) # or sensor.RGB565
sensor.set_framesize(sensor.QQVGA) # or sensor.QVGA (or others)
sensor.skip_frames(time = 2000) # Let new settings take affect.
clock = time.clock() # Tracks FPS.

thresholds = (220, 255)

while(True):
    clock.tick() # Track elapsed milliseconds between snapshots().
    img = sensor.snapshot().binary([thresholds], invert=False, zero=True)

    print(clock.fps()) # Note: Your OpenMV Cam runs about half as fast while
    # connected to your computer. The FPS should increase once disconnected.

原图：

运行效果图：

星瞳科技OpenMV官方中文文档函数讲解：