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Tolga Birdal
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vini
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I have done a lot of research and found out methods like adaptive thresholding , watershed etc that can be used of detecting veins in leaves . However thresholding isn't good as it introduces a lot of noise

All my images are gray image please could anyone suggest what approaches to adopt while considering this problem in urgent need of help

EDIT:My original image

enter image description here

After thresholding

enter image description here

As suggested by the answer i have tried the following edge detection

  1. Canny

Too much noise and unwanted disturbances

enter image description here

  1. Sobel

enter image description here

  1. Roberts

enter image description here

EDIT: Tried one more operation i get the following result its better than what i tried with canny and adaptive What do you feel?

enter image description here

I have done a lot of research and found out methods like adaptive thresholding , watershed etc that can be used of detecting veins in leaves . However thresholding isn't good as it introduces a lot of noise

All my images are gray image please could anyone suggest what approaches to adopt while considering this problem in urgent need of help

EDIT:My original image

enter image description here

After thresholding

enter image description here

As suggested by the answer i have tried the following edge detection

  1. Canny

Too much noise and unwanted disturbances

enter image description here

  1. Sobel

enter image description here

  1. Roberts

enter image description here

I have done a lot of research and found out methods like adaptive thresholding , watershed etc that can be used of detecting veins in leaves . However thresholding isn't good as it introduces a lot of noise

All my images are gray image please could anyone suggest what approaches to adopt while considering this problem in urgent need of help

EDIT:My original image

enter image description here

After thresholding

enter image description here

As suggested by the answer i have tried the following edge detection

  1. Canny

Too much noise and unwanted disturbances

enter image description here

  1. Sobel

enter image description here

  1. Roberts

enter image description here

EDIT: Tried one more operation i get the following result its better than what i tried with canny and adaptive What do you feel?

enter image description here

added 400 characters in body
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vini
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  • 37

I have done a lot of research and found out methods like adaptive thresholding , watershed etc that can be used of detecting veins in leaves . However thresholding isn't good as it introduces a lot of noise

All my images are gray image please could anyone suggest what approaches to adopt while considering this problem in urgent need of help

EDIT:My original image

enter image description here

After thresholding

enter image description here

As suggested by the answer i have tried the following edge detection

  1. Canny

Too much noise and unwanted disturbances

enter image description here

  1. Sobel

enter image description here

  1. Roberts

enter image description here

I have done a lot of research and found out methods like adaptive thresholding , watershed etc that can be used of detecting veins in leaves . However thresholding isn't good as it introduces a lot of noise

All my images are gray image please could anyone suggest what approaches to adopt while considering this problem in urgent need of help

EDIT:My original image

enter image description here

After thresholding

enter image description here

I have done a lot of research and found out methods like adaptive thresholding , watershed etc that can be used of detecting veins in leaves . However thresholding isn't good as it introduces a lot of noise

All my images are gray image please could anyone suggest what approaches to adopt while considering this problem in urgent need of help

EDIT:My original image

enter image description here

After thresholding

enter image description here

As suggested by the answer i have tried the following edge detection

  1. Canny

Too much noise and unwanted disturbances

enter image description here

  1. Sobel

enter image description here

  1. Roberts

enter image description here

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vini
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Source Link
vini
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