Filling holes in a binary image

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Ryan Tigera
Ryan Tigera am 19 Nov. 2020
Kommentiert: Ryan Tigera am 28 Nov. 2020
Hi,
I have attached A PDF of code and two images in binary. They are from the same image that is the first attachment however the conversion to binary has created two very different binary images. The first image is from cluster 2 of the LaB segmented command and then I use the imfill command of this image.The second binary image had it's holes filled with the imfill command after a conversion to grayscale. I have over fifty of these images and some of the images require the first method while others do the second method. There are a few photos that work for both methods but when I compare the regionprops calculations for area, axislength, etc the results are very different. It is important to be consistent as I am looking for the difference in two different scenarios.
I would appreciate any guidance to fill the image so you can no longer see the barb and the yellow plume is converted to a continuous, binary image for further analysis.
I can also provide any additional information if that would help.
Thanks for the help.
Ryan

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Nagasai Bharat
Nagasai Bharat am 25 Nov. 2020
Hi,
From my understanding you are trying fill in the middle blob and make a continous binary image. As you already used the imfill function I would like to bring to your notice of the Morphological operations you could perform on your binary image to get the result you expect with more flexibility. MATLAB provides various functions to perform these operations and a few examples to understand them.
Do have look at the below links for your assistance.
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Ryan Tigera
Ryan Tigera am 28 Nov. 2020
Thank you for your help and sending me those links.

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Image Analyst
Image Analyst am 25 Nov. 2020
Segmentation of the gray scale image is like doing segmentation on the L channel only. Segmentation of the full LAB color image is a true color segmentation using all 3 color channels, so of course they will look different. They will not neccesarily be consistent since you're using different information to segment them in two different ways.
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Ryan Tigera
Ryan Tigera am 28 Nov. 2020
Thanks for the explanation. Now that I have a better understanding of the different methods, I was able to use both to effectivelye explain my analysis. Thanks again.

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