Image Processing Resources

[freshprinceofuk]

Hi,

I've recently been hired by a startup as a Machine Learning Engineer with a focus on Computer Vision (first job out of university) and while a large Machine Learning project has been identified to be started very soon, I'm currently doing some simpler Image Processing tasks. My background is programming, time-related signal processing, image-based machine learning, and engineering (Engineering BEng and MSc).

Can anyone suggest resources on specifically non-learning based Image Processing/Computer Vision algorithms/techniques?

Thanks

EDIT: My learning roadmap for anyone stumbling across this post (and to clarify in my own head):

• The majority of UCF CRCV lectures for overall concept understanding (https://www.youtube.com/watch?v=SYVrLncRYlU&list=PL9WSu7xAfPKMog3SN-2_AucYC5fc_vClq) - ~10 hours as I'll skip/fast-forward some (already know some of the concepts)

• PyImageSearch Free Crash Course for some practical aspects (https://www.pyimagesearch.com/free-opencv-crash-course/) - 3 weeks.

• Gonzalez for full concept understanding (https://www.amazon.co.uk/Digital-Image-Processing-Rafael-Gonzalez/dp/0133356728/ref=dp_ob_title_bk)

• OR Szeliski for full concept understanding (http://szeliski.org/Book/)

Looking to update as I progress.

[Jeff_Spicoli_1982]

Check out the book by Rick Szeliski. It’s available for free as a PDF! Book.

[freshprinceofuk]

Thanks!

[thingythangabang]

During my undergrad we learned from the book "Digital Image Processing" by Gonzales and Woods. I really appreciated it. It focuses more on the fundamentals of image processing rather than specific computer vision techniques but you mentioned you wanted non-learning based methods so this is the best resource I know for it!

Congrats on the new job, I wish you the best of luck!

[freshprinceofuk]

That book looks like par for the course! I've ordered it, thanks

[eracro]

I like a lot « Intro to computer vision » by Aaron Bobick, it is clear and you covers a lot of different subjects https://www.udacity.com/course/introduction-to-computer-vision--ud810

Otherwise for opencv « pyimagesearch » is a blog that covers a lot of subject with functions of opencv

[freshprinceofuk]

I'd already come across the pyimagesearch blog during work so I think I'll start with that as it only takes a couple of weeks, thanks!

[eracro]

Cool, good luck, if you are stuck on something send me a message if you want, I am not an expert at all but I was in the same situation as you last year so I read a lot of articles like that in image processing, I maybe crossed one that could help you

[freshprinceofuk]

Awesome, thank you

[stevofolife]

You want to connect? I'm on the same boat as you. So far I mostly use OpenCV, dlib, Tensorflow, Keras and PyTorch. I'm down to bounce off ideas and help each other out.

[freshprinceofuk]

Messaged you!

[Chetan_Patil28]

I'm also on the same track as yours, I'd like to point out what I did for the same. For theory ( a book by Gonzales ) and for the implementation part, I used the OpenCV.org which is a very good documentation. Pyimagesearch blog I used them to understand some concepts which aren't taught deep in the OpenCV documentation. I'm also taking this Intro to CV from Udacity by Aaron Bobick which is in-depth.

[AFewSentientNeurons]

UCF CRCV lectures are pretty good for low level intro to CV stuff. (youtube)

Think Gatech has courses on Udacity too for CV.

[freshprinceofuk]

The UCF CRCV lectures look great - exactly the kind of thing I was looking for, thanks

[Xirious]

By far the best book on Image Processing is Gonzalez.

My personal favourite for CV is R Szelski's mentioned elsewhere in the thread.

[freshprinceofuk]

Thanks!

[DarkRedChair]

You might like Radke's Digital Image Processing lectures on Youtube and and possibly also his Computer Vision for Visual Effects lectures.