小球表面反光导致OPEN MV识别不准,有没有什么方法可以将识别到的小球色块区域在高于某个值的时候让它默认为是小球全部?
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# Measure the distance # # This example shows off how to measure the distance through the size in imgage # This example in particular looks for yellow pingpong ball. import sensor, image, time # For color tracking to work really well you should ideally be in a very, very, # very, controlled enviroment where the lighting is constant...+ yellow_threshold =(0, 30, 127, -128, -128, 127) # You may need to tweak the above settings for tracking green things... # Select an area in the Framebuffer to copy the color settings. sensor.reset() # Initialize the camera sensor. sensor.set_pixformat(sensor.RGB565) # use RGB565. sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed. sensor.skip_frames(time = 2000) # Let new settings take affect. sensor.set_auto_whitebal(False) # turn this off. clock = time.clock() # Tracks FPS. K=325#the value should be measured #设定一个距离值,根据该距离值的像素值得到K值 K=20*25 K2=0.16 #K2值等于物体的高度(长度)/像素值 如K2=4/25 while(True): clock.tick() # Track elapsed milliseconds between snapshots(). #img = sensor.snapshot() # Take a picture and return the image. img = sensor.snapshot() blobs = img.find_blobs([yellow_threshold]) if len(blobs) == 1: # Draw a rect around the blob. b = blobs[0] img.draw_rectangle(b[0:4]) # rect img.draw_cross(b[5], b[6]) # cx, cy Lm = (b[2]+b[3])/2 #小球的长加宽/2得到LM的值 length = K/Lm print(length) size=K2*Lm #print(size) #print(clock.fps()) # Note: Your OpenMV Cam runs about half as fast while # connected to your computer. The FPS should increase once disconnected. ![0_1562035915783_5415.bmp](正在上传 100%)
![0_1562035930795_5415.bmp](正在上传 100%)
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什么叫做“小球色块区域在高于某个值”?什么的值高于某个值?
我建议:
1,使用阈值助手调节阈值。
2,控制光照
3,换小球的材料。