Thank you very much for all the work you are doing, your videos are just amazing. I hope you continue to illuminate our lantern with such instructive videos. Best wishes...
Thank you very much for your thorough step-by-step tutorials! I've been scouring through them hoping to adapt smth to my problem: I have scratches on my metallographic microscopic images. Is there a way to process the images so they don't pick on the scratches? My main concern is that the scratches would get accounted for while calculating porosity!
Hello. Thank you a lot for your work. Please I have à question why the file size are not the same as the original image after morphological operation ?
It seems that your Eroded + Dilated image looks better than the Thresholded Image after the medianBlur filter . I can observe some white pixels in the black segment. How could you have improved it?
Thanks - I am new to medical image segmentation and u-net convolution network. As part of preprocessing, are there any benefits to apply techniques as denoising, thresholding and morphological operations? I am assuming that network will learn faster and metrics (e.g. accuracy, etc) will be better. Will appreciate for your feedback.
what are real time projects will suggest me like i am at 28 video and i want to do real project, if you have any please give and doing this series will help me to get job sir???
Underrated channel.... Awseome lectures sir
Thank you very much for all the work you are doing, your videos are just amazing. I hope you continue to illuminate our lantern with such instructive videos. Best wishes...
Love your videos sir! You are always consistent in the way you explain language which facilitates learning. Thank you!
Glad to hear that!
found this very helpful, thank you for explaining the principles beforehand.
Your video help me a lot. Thanks for sharing such great content.
You are so welcome!
Really appreciate the tutorial. Thank you, Sreeni.
Subscribed to your channel now. Great tutorials and great work!
Thank you sir, for this great tutorial
Thank you very much for your thorough step-by-step tutorials!
I've been scouring through them hoping to adapt smth to my problem: I have scratches on my metallographic microscopic images. Is there a way to process the images so they don't pick on the scratches? My main concern is that the scratches would get accounted for while calculating porosity!
One way to account for them is to filter them out after segmentation, during analysis. Scratches will have higher aspect ratios compared to pores.
yeah, must subscribe master!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
Thanks
Really Suber sir
Hello. Thank you a lot for your work.
Please I have à question why the file size are not the same as the original image after morphological operation ?
Good and beautiful analysis Sir. Please, can you do tutorial on connected component analysis/ label (CCL)in details?
thank you
excellent. video
Thank you!
Thanks!
Thank you very much for your kindness.
It seems that your Eroded + Dilated image looks better than the Thresholded Image after the medianBlur filter . I can observe some white pixels in the black segment. How could you have improved it?
Thanks - I am new to medical image segmentation and u-net convolution network. As part of preprocessing, are there any benefits to apply techniques as denoising, thresholding and morphological operations? I am assuming that network will learn faster and metrics (e.g. accuracy, etc) will be better. Will appreciate for your feedback.
dear sir please make a video for how to measure fetal head perimeter using ultrasound image
How could we use the morphological operation on a dataset of 100 images?
Is this only for greyscale image ?
Should not we divide the kernel by 9
what are real time projects will suggest me like i am at 28 video and i want to do real project, if you have any please give and doing this series will help me to get job sir???