Find the object in the image





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I need to find only the tiger object in this picture by applying segmentation operations and other operations, but I don't know much about it.



enter image description here






opencv image-processing







share|improve this question





























    -1















    I need to find only the tiger object in this picture by applying segmentation operations and other operations, but I don't know much about it.



    enter image description here






    opencv image-processing







    share|improve this question

























      -1












      -1








      -1








      I need to find only the tiger object in this picture by applying segmentation operations and other operations, but I don't know much about it.



      enter image description here






      opencv image-processing







      share|improve this question














      I need to find only the tiger object in this picture by applying segmentation operations and other operations, but I don't know much about it.



      enter image description here






      opencv image-processing




      opencv image-processing






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 3 at 13:11









      nfc yoklamanfc yoklama

      1




      1
























          1 Answer
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          0














          Have you done any research before asking? Stack Overflow is not meant to solve your project for you. Also, in my experience openCV has a pretty steep learning curve. By someone giving you some code that does what you want you'll learn nothing. You'll learn most by trying for yourself. A lot.



          With that being said, below is some code that removes background. It is very basic and specific to your image. In general it is not very good, as you can see in the result. But since your new to opencv maybe it is not too complex for you to understand.



          I would encourage you to research the operations that are done in the code until you understand them. (read here, here and here) Look at the images before and after the operations to see what it does. Then, when you're up for it, you can create a better backgroundsubtractor yourself by following this tutorial or by using grabcut



          Result:



          enter image description here



          # load image
          
img = cv2.imread("animal.jpg")
          
# detect edges
          
edges = cv2.Canny(img,100,100)
          
# merge edges to big blob
          
kernel =  np.ones((10,10),np.uint8)
          
edges = cv2.morphologyEx(edges, cv2.MORPH_CLOSE, kernel)
          
# detect contour of blob
          
im2, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
          
# draw filled contour on edges-img
          
for cnt in contours:
          
    cv2.drawContours(edges, [cnt], 0, (255,255,255), -1)
          
# uses edges-img as mask to remove background
          
res = cv2.bitwise_and(img,img,mask=edges)
          
cv2.imshow("img", res) 
          
cv2.waitKey(0)
          
cv2.destroyAllWindows()





          share|improve this answer
























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            1 Answer
            1






            active

            oldest

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            active

            oldest

            votes






            active

            oldest

            votes









            0














            Have you done any research before asking? Stack Overflow is not meant to solve your project for you. Also, in my experience openCV has a pretty steep learning curve. By someone giving you some code that does what you want you'll learn nothing. You'll learn most by trying for yourself. A lot.



            With that being said, below is some code that removes background. It is very basic and specific to your image. In general it is not very good, as you can see in the result. But since your new to opencv maybe it is not too complex for you to understand.



            I would encourage you to research the operations that are done in the code until you understand them. (read here, here and here) Look at the images before and after the operations to see what it does. Then, when you're up for it, you can create a better backgroundsubtractor yourself by following this tutorial or by using grabcut



            Result:



            enter image description here



            # load image
            
img = cv2.imread("animal.jpg")
            
# detect edges
            
edges = cv2.Canny(img,100,100)
            
# merge edges to big blob
            
kernel =  np.ones((10,10),np.uint8)
            
edges = cv2.morphologyEx(edges, cv2.MORPH_CLOSE, kernel)
            
# detect contour of blob
            
im2, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
            
# draw filled contour on edges-img
            
for cnt in contours:
            
    cv2.drawContours(edges, [cnt], 0, (255,255,255), -1)
            
# uses edges-img as mask to remove background
            
res = cv2.bitwise_and(img,img,mask=edges)
            
cv2.imshow("img", res) 
            
cv2.waitKey(0)
            
cv2.destroyAllWindows()





            share|improve this answer




























              0














              Have you done any research before asking? Stack Overflow is not meant to solve your project for you. Also, in my experience openCV has a pretty steep learning curve. By someone giving you some code that does what you want you'll learn nothing. You'll learn most by trying for yourself. A lot.



              With that being said, below is some code that removes background. It is very basic and specific to your image. In general it is not very good, as you can see in the result. But since your new to opencv maybe it is not too complex for you to understand.



              I would encourage you to research the operations that are done in the code until you understand them. (read here, here and here) Look at the images before and after the operations to see what it does. Then, when you're up for it, you can create a better backgroundsubtractor yourself by following this tutorial or by using grabcut



              Result:



              enter image description here



              # load image
              
img = cv2.imread("animal.jpg")
              
# detect edges
              
edges = cv2.Canny(img,100,100)
              
# merge edges to big blob
              
kernel =  np.ones((10,10),np.uint8)
              
edges = cv2.morphologyEx(edges, cv2.MORPH_CLOSE, kernel)
              
# detect contour of blob
              
im2, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
              
# draw filled contour on edges-img
              
for cnt in contours:
              
    cv2.drawContours(edges, [cnt], 0, (255,255,255), -1)
              
# uses edges-img as mask to remove background
              
res = cv2.bitwise_and(img,img,mask=edges)
              
cv2.imshow("img", res) 
              
cv2.waitKey(0)
              
cv2.destroyAllWindows()





              share|improve this answer


























                0












                0








                0







                Have you done any research before asking? Stack Overflow is not meant to solve your project for you. Also, in my experience openCV has a pretty steep learning curve. By someone giving you some code that does what you want you'll learn nothing. You'll learn most by trying for yourself. A lot.



                With that being said, below is some code that removes background. It is very basic and specific to your image. In general it is not very good, as you can see in the result. But since your new to opencv maybe it is not too complex for you to understand.



                I would encourage you to research the operations that are done in the code until you understand them. (read here, here and here) Look at the images before and after the operations to see what it does. Then, when you're up for it, you can create a better backgroundsubtractor yourself by following this tutorial or by using grabcut



                Result:



                enter image description here



                # load image
                
img = cv2.imread("animal.jpg")
                
# detect edges
                
edges = cv2.Canny(img,100,100)
                
# merge edges to big blob
                
kernel =  np.ones((10,10),np.uint8)
                
edges = cv2.morphologyEx(edges, cv2.MORPH_CLOSE, kernel)
                
# detect contour of blob
                
im2, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
                
# draw filled contour on edges-img
                
for cnt in contours:
                
    cv2.drawContours(edges, [cnt], 0, (255,255,255), -1)
                
# uses edges-img as mask to remove background
                
res = cv2.bitwise_and(img,img,mask=edges)
                
cv2.imshow("img", res) 
                
cv2.waitKey(0)
                
cv2.destroyAllWindows()





                share|improve this answer













                Have you done any research before asking? Stack Overflow is not meant to solve your project for you. Also, in my experience openCV has a pretty steep learning curve. By someone giving you some code that does what you want you'll learn nothing. You'll learn most by trying for yourself. A lot.



                With that being said, below is some code that removes background. It is very basic and specific to your image. In general it is not very good, as you can see in the result. But since your new to opencv maybe it is not too complex for you to understand.



                I would encourage you to research the operations that are done in the code until you understand them. (read here, here and here) Look at the images before and after the operations to see what it does. Then, when you're up for it, you can create a better backgroundsubtractor yourself by following this tutorial or by using grabcut



                Result:



                enter image description here



                # load image
                
img = cv2.imread("animal.jpg")
                
# detect edges
                
edges = cv2.Canny(img,100,100)
                
# merge edges to big blob
                
kernel =  np.ones((10,10),np.uint8)
                
edges = cv2.morphologyEx(edges, cv2.MORPH_CLOSE, kernel)
                
# detect contour of blob
                
im2, contours, hierarchy = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
                
# draw filled contour on edges-img
                
for cnt in contours:
                
    cv2.drawContours(edges, [cnt], 0, (255,255,255), -1)
                
# uses edges-img as mask to remove background
                
res = cv2.bitwise_and(img,img,mask=edges)
                
cv2.imshow("img", res) 
                
cv2.waitKey(0)
                
cv2.destroyAllWindows()






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Jan 3 at 15:07









                J.D.J.D.

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