Timeline for Cropping binary images based on pixel counts in python
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| Jun 11, 2021 at 13:54 | vote | accept | Nolan Cardozo | ||
| Nov 23, 2020 at 19:48 | comment | added | FirefoxMetzger |
@NolanCardozo Are you opening a binary image or a gray-scale image? Your result may stem from using a gray-scale morphological operation instead of a binary one. Regarding a dynamic threshold, you can choose the structuring element (selem) dynamically. I choose a fixed one, because - given your question - it seemed like the simplest solution.
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| Nov 23, 2020 at 13:46 | comment | added | Nolan Cardozo | Hi FirefoxMetzger. Thanks for your answer. Unfortunately this does not work for me. I get this image when I try to visualize the img_opened. [![enter image description here][1]][1] [1]: i.sstatic.net/8PIt5.png . Addiitonally how do you choose the threshold 1/6th, is there a way to dynamically estimate this? | |
| Nov 22, 2020 at 11:58 | history | answered | FirefoxMetzger | CC BY-SA 4.0 |
