如何在OpenCV中设置HSV颜色范围? [英] How to set HSV color range in OpenCV?

问题描述

我有一个手机，它像打击一样是HSV直方图，我想跟踪它的移动.基于它的直方图，我设置如下图像范围:

I have a phone and it's HSV histogram like blow,and I want to track this phone's movement.Based on it's histogram,I set image range like this:

greenLower = (300, 0, 50)
greenUpper = (50, 128,250 )
cv2.inRange(hsv, greenLower, greenUpper)

但是挥舞电话时什么也没发现，我很确定这是因为颜色范围错误，您能告诉我如何正确设置颜色范围吗?尤其是当HUE值在[300〜50]之间时，由于HUE是线圈，我应该将其设置为(50〜300)还是(300〜50).

But nothing got detected out when waving the phone,and I am pretty sure it is because color range is wrong,would you tell me how to get color rang setting right？Especially,when HUE values are between [300~50],should I set it to (50~300) or (300~50) due to HUE is a cirle.

Phone

HSV histogram:

推荐答案

您错误地设置了上限和下限，它们必须是:

You have wrongly set the upper and lower bounds, they must be:

greenLower = (50, 0, 50)         # Previously (300, 0, 50)
greenUpper = (300, 128, 250)     # Previously (50, 128,250)

还要确保hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)作为OpenCV遵循BGR约定.

Also make sure that hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) as OpenCV follows the BGR convention.

要在多个范围0~50和300~359中对颜色进行分段，可以对两个范围执行两次cv2.inRange()，如下所示:

To segment colors in multiple ranges 0~50 and 300~359, you can perform cv2.inRange() twice for two ranges as:

greenLower1 = (0, 0, 20)         
greenUpper1 = (50, 128, 100)     

greenLower2 = (300, 0, 20)         
greenUpper2 = (359, 128, 100)     

mask1 = cv2.inRange(img_hsv, greenLower1, greenUpper1)
mask2 = cv2.inRange(img_hsv, greenLower2, greenUpper2)

mask = cv2.max(mask1, mask2)

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