Appending local binary pattern of image (having 200 channels) taken over 3 channels at a time

asked 2019-11-02 01:26:28 -0600

updated 2019-11-02 02:02:57 -0600

berak
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I am unable to append the local binary patterns of image having 200 channels taking 3 channels at a time. hsi_data is my image,img_lbp is local binary pattern of my image hsi_data taking 3 channels at a time. I want to append all the local binary patterns taken over 3 channels to img_lbp_appended. Please refer to my code attached. Can anyone tell me my mistake. ..

for k in range(0,199,3):
   if k==198:
     break
   else:
     image_file = hsi_data[:,:,k:k+3]
     img_bgr = image_file
     height, width, channel = img_bgr.shape
     img_gray = cv2.cvtColor(img_bgr,cv2.COLOR_BGR2GRAY)
     img_lbp = np.zeros((height, width,3), np.uint8)

     for i in range(0, height):
        for j in range(0, width):
            img_lbp[i, j] = lbp_calculated_pixel(img_gray, i, j)
     img_lbp_appended=np.zeros((height, width,200),np.uint8)
     img_lbp_appended=np.append(img_lbp_appended,img_lbp,axis=2)

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where's the problem ? error msg ?

berak ( 2019-11-02 02:34:19 -0600 )edit

I am getting the img_lbp_appended as numpy array with zero values.

Sandeep Kumar ( 2019-11-02 02:42:49 -0600 )edit

what is the intent behind:

img_lbp_appended=np.zeros((height, width,200),np.uint8)

? why 200 channels (your lbp image only has 1 ?) ? why is it repeated for each image triplet ?. (it probably should go before anything else)

berak ( 2019-11-02 02:46:17 -0600 )edit

I have used a code which is available in github which works for image of 3 channels. My intention is to append all the LBPs to get the LBP of my image that is having 200 channels.

Sandeep Kumar ( 2019-11-02 02:58:01 -0600 )edit

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# this will hold our final result: height, width, channels = hsi_data.shape lbp_final = np.zeros((height, width, channels),np.uint8) for k in range(0, channels): image_gray = hsi_data[:,:,k] for i in range(0, height): for j in range(0, width): lbp_final[i, j, k] = lbp_calculated_pixel(img_gray, i, j)

Comments

Thank you Berak. I have successfully executed the above code. It is working.

Sandeep Kumar ( 2019-11-02 03:29:52 -0600 )edit

btw, check border conditions in the lbp code you try with again.

berak ( 2019-11-02 04:10:23 -0600 )edit

How can we check the Border conditions?

Sandeep Kumar ( 2019-11-02 05:40:15 -0600 )edit

think about what your code does.

what happens at pixel (0,0) ? does it have a "left" neighbour, or a "top" one ?

what does numpy do here (overflow condition) and is the result correct ?

berak ( 2019-11-02 05:55:08 -0600 )edit

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Appending local binary pattern of image (having 200 channels) taken over 3 channels at a time

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