Sobel Edge Detection Threshold value single vs uint8 image

2023 4 20
2 个回答
回答已采纳
更新时间：2023 4 20
9 次查看（30 天）

0 个投票

I have a Simulink model that does edge detection using the Edge Detection Block with the Sobel algorithm. I have found a good Threshold to get the level of detection that I want. For the application, my image source will change from single to unit8. I can not find a Threshold in uint8 that gives me the equivalent result as the one I use in single.
I made an example Simulink file and attached it here to show what I mean. On the top is my current solution, using an image in datatype single and Sobel Threshold 0.1 that gives me a good edge detection. On the bottom is my future solution where the image datatype has changed to uint8. I tried many different values for the Sobel Threshold but I can not find one that gives me a similar result as in the top path.
In the following screenshot, I show the images and detected edges:
I am aware that converting the image to datatype single would probably enable me to get the current performance, but I want to avoid that step due to memory/processing power constraints.

4 个评论
显示 2更早的评论 隐藏 2更早的评论

DGM
DGM 2023-4-20
编辑：DGM 2023-4-20
The documentation says that the threshold and image must match in class. I wouldn't be surprised if it were treating the uint32 input as most tools treat any other image array. That is, values are expected to be given with respect to the interval [intmin intmax].
If that's the case, then the threshold would only be 26 if it were uint8. If it's uint32, it would be (2^32-1)*0.1.
I don't have this toolbox, so I can't prove any of this.
I had a similar thought: the image in single datatype has pixel values from 0 to 1, the image in uint8 datatypye has pixel values 0 to 255, so as you can see in the screenshot, I "translated" the 0.1 value to 25, but unfortunately it did not give the same result.
DGM
DGM 2023-4-20
Yes, but the threshold value is uint32, not uint8.
Sorry, my bad. I did not screenshot the final model. I edited the screenshot in the original question to match the question. The edge result for uint8 and threshold 25 does still not match the edge result for single and threshold 0.1.

请先登录，再进行评论。

请先登录，再回答此问题。

 采纳的回答

0 个投票

I found the answer:
In the "Data Types" tab, I have to select "Same as product output" for the Accumulator.
Now I get the same edge detection result for both datatypes:

更多回答（1 个）

Image Analyst
Image Analyst 2023-4-20

0 个投票

I don't know Simulink but Sobel has a fixed filter size that may not scale well with the size/width of the edges in your particular image. It would be better to use a DOG filter (difference of Gaussians). You can tailor the width of the Gaussians to optimize for the size and sharpness of edges in your image.

1 个评论
显示 -1更早的评论 隐藏 -1更早的评论

The sobel block works well when the image is supplied as datatype single with pixel values from 0 to 1 and a threshold of 0.1.
For the same image supplied as datatype uint8 with pixel values from 0 to 255 and a threshold of 25, I get a completely different result. I can not find a threshold in the uint8 case that gives the same result as in the single case.
I'll add a screenshot of the original image and the detected edges in the two cases to the original question.

请先登录，再进行评论。

类别

在 帮助中心 和 File Exchange 中查找有关 Computer Vision with Simulink 的更多信息

产品

版本

R2022b

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by