Judul: Berbagi Info Seputar Smoothing Techniques in OpenCV Full Update Terbaru
link: Smoothing Techniques in OpenCV
Artikel Terbaru Smoothing Techniques in OpenCV Update Terlengkap 2017
Hi,
This post is an additional note to official OpenCV tutorial : Smoothing Images
( Its corresponding Python code can be found here : smoothing.py )
After Homogeneous Blur, cv2.blur() :
This post is an additional note to official OpenCV tutorial : Smoothing Images
( Its corresponding Python code can be found here : smoothing.py )
Below I would like to show you the results I got when I applied four smoothing techniques in OpenCV, ie cv2.blur, cv2.GaussianBlur, cv2.medianBlur and cv2.bilateralFilter. Kernel size, I used in all cases were 9. See the result below :
Original Image:
 |
| Original Image |
 |
| Result of blurring |
After Gaussian Blur , cv2.GaussianBlur():
It is much more clear than previous.
After median blur, cv2.medianBlur() :
It has become somewhat like a painting. See eye, it has become completely black.
Finally, after bilateral filter :
This result has high similarity with original image. It is because, it doesn't smooth the edge, instead smooth small noises leaving edges same way. So to see difference, zoom image to left face and check carefully. Then you will understand, face part will have become much more smoother, in short, much more glamorous. There is a nice explanation of bilateral filter at this link : Bilateral Filtering.
But the main problem is that, it takes more time than other filters.
Regards,
ARK
 |
| Result of Gaussian Filter |
After median blur, cv2.medianBlur() :
 |
| After median blur |
Finally, after bilateral filter :
This result has high similarity with original image. It is because, it doesn't smooth the edge, instead smooth small noises leaving edges same way. So to see difference, zoom image to left face and check carefully. Then you will understand, face part will have become much more smoother, in short, much more glamorous. There is a nice explanation of bilateral filter at this link : Bilateral Filtering.
But the main problem is that, it takes more time than other filters.
Regards,
ARK
Itulah sedikit Artikel Smoothing Techniques in OpenCV terbaru dari kami
Semoga artikel Smoothing Techniques in OpenCV yang saya posting kali ini, bisa memberi informasi untuk anda semua yang menyukai Fiber Android. jangan lupa baca juga artikel-artikel lain dari kami.
Terima kasih Anda baru saja membaca Artikel Tentang Smoothing Techniques in OpenCV