例程讲解-04-kernel_filter核滤波
# 核滤波
#
# 这个例子展示了核滤波。
import sensor, image, time
sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.GRAYSCALE) # or sensor.RGB565
sensor.set_framesize(sensor.QVGA) # or sensor.QQVGA (or others)
sensor.skip_frames(time = 2000) # Let new settings take affect.
clock = time.clock() # Tracks FPS.
kernel_size = 1 # 3x3==1, 5x5==2, 7x7==3, etc.
kernel = [-2, -1, 0, \
-1, 1, 1, \
0, 1, 2]
while(True):
clock.tick() # Track elapsed milliseconds between snapshots().
img = sensor.snapshot() # Take a picture and return the image.
# Run the kernel on every pixel of the image.
img.morph(kernel_size, kernel)
print(clock.fps()) # Note: Your OpenMV Cam runs about half as fast while
# connected to your computer. The FPS should increase once disconnected.
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运行效果图：
