如何使用python检测目标上的弹孔 [英] How to detect bullet holes on the target using python
问题描述
我想知道如何使用python和opencv检测目标上的弹孔。
I want to know how to detect the bullet holes on the target using python and opencv.
我无法绘制周围的轮廓。到目前为止,我已经完成了阈值,我有以下结果(阈值后的图像和二进制AND)。
I'm not able to draw the contours around them. So far I have done with threshold, and I have the following result (Image after threshold and binary AND).
这是原始图片。
我不知道应该采用哪种方法来检测弹孔并相应地计算得分。
I don't know which approach should I follow to detect the bullet holes and calculate the scores accordingly.
任何帮助都将不胜感激。
Any help would be appreciated.
推荐答案
你可以简单地使用一个非常简单的分段技术的类型,称为颜色分割
,其中您对给定的RGB图像进行阈值处理以获得二进制图像:
You may simply use a very simple type of segmentation technique, known as Color Segmentation
in which you threshold the given RGB image to get a binary image as :
img = cv2.imread('/Users/anmoluppal/Desktop/cAMDX.jpg')
img_thresholded = cv2.inRange(img, (60, 60, 60), (140, 140, 140))
使用开场歌剧可以消除二进制图像的噪音对二进制图像的反应如下:
The noise of the binary image can be removed using the opening operation on the binary image as :
kernel = np.ones((10,10),np.uint8)
opening = cv2.morphologyEx(img_thresholded, cv2.MORPH_OPEN, kernel)
现在您对弹孔有一个清晰的了解,最后一部分是找到这些轮廓并在它们周围绘制一些圆/矩形到将前景区域突出显示为:
Now you have somewhat a clear picture of the bullet holes, the last part is to find these contours and draw some circle/ Rectangle around them to highlight the foreground area as:
contours, hierarchy = cv2.findContours(opening.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
print len(contours)
for contour in contours:
(x,y),radius = cv2.minEnclosingCircle(contour)
center = (int(x),int(y))
radius = int(radius)
cv2.circle(img,center,radius,(0,255,0),2)
# labelling the circles around the centers, in no particular order.
position = (center[0] - 10, center[1] + 10)
text_color = (0, 0, 255)
cv2.putText(img, str(i + 1), position, cv2.FONT_HERSHEY_SIMPLEX, 1, text_color, 3)
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