pecentile = 0.5 : 中位数

从小到大排列,所处位置位于整体的百分比,对应的数值 TODO: 此处需要配图


# Median Filter Example
# This example shows off median filtering. Median filtering replaces every pixel
# with the median value of it's NxN neighborhood. Median filtering is good for
# removing noise in the image while preserving edges.

import sensor, image, time

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # or sensor.GRAYSCALE
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.

    clock.tick() # Track elapsed milliseconds between snapshots().
    img = sensor.snapshot() # Take a picture and return the image.

    # The first argument to the median filter is the kernel size, it can be
    # either 0, 1, or 2 for a 1x1, 3x3, or 5x5 kernel respectively. The second
    # argument "percentile" is the percentile number to choose from the NxN
    # neighborhood. 0.5 is the median, 0.25 is the lower quartile, and 0.75
    # would be the upper quartile.
    img.median(1, percentile=0.5)

    print(clock.fps()) # Note: Your OpenMV Cam runs about half as fast while
    # connected to your computer. The FPS should increase once disconnected.
Copyright 杭州云江科技有限公司 2017 all right reserved,powered by Gitbook该文件修订时间: 2018-04-02 09:53:12

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