如何在python中使用opencv处理图像？-howtoprocessimagewithopencvinpython?

6  

Here's fixed code. See comments inline. Long story short: your data types were wrong. Read the API.

这是固定代码。请参阅内联评论。长话短说:你的数据类型错了。阅读API。

try:
    from opencv.cv import *
    from opencv.highgui import *
except:
    #
    # Different OpenCV installs name their packages differently.
    #
    from cv import *

if __name__ == '__main__':
    import sys
    #
    # 1 = Force the image to be loaded as RGB
    #
    img = LoadImage (sys.argv[1], 1)
    NamedWindow ('img')
    ShowImage ('img', img)
    WaitKey ()

    #
    # Canny and Harris expect grayscale  (8-bit) input.
    # Convert the image to grayscale.  This is a two-step process:
    #   1.  Convert to 3-channel YCbCr image
    #   2.  Throw away the chroma (Cb, Cr) and keep the luma (Y)
    #
    yuv = CreateImage(GetSize(img), 8, 3)
    gray = CreateImage(GetSize(img), 8, 1)
    CvtColor(img, yuv, CV_BGR2YCrCb)
    Split(yuv, gray, None, None, None)

    canny = CreateImage(GetSize(img), 8, 1)
    Canny(gray, canny, 50, 200)
    NamedWindow ('canny')
    ShowImage ('canny', canny)
    WaitKey()

    #
    # The Harris output must be 32-bit float.
    #
    harris = CreateImage (GetSize(img), IPL_DEPTH_32F, 1)
    CornerHarris(gray, harris, 5, 5, 0.1)

8  

For other folks interested in the same type of problem I recommend checking out http://simplecv.org

对于其他对同类问题感兴趣的人,我建议您查看http://simplecv.org

Here is a bit of code I wrote that does line detection on an image acquired from a webcam. It will even display the image over http.

Check out the project I made this for at http://labs.radiantmachines.com/beard/ It will detect how long your neck beard is :)

查看我为此制作的项目http://labs.radiantmachines.com/beard/它将检测你的脖子胡须有多长:)

2  

You can convert an image to grayscale in a single step instead of two:

您可以在一步而不是两步中将图像转换为灰度:

gray = cv.CreateMat(img.height, img.width, cv.CV_8UC1)
cv.CvtColor(img, gray, cv.CV_BGR2GRAY)