BCSE417L ‐‐ Machine Vision Course Material - bharadwajakumar/Machine-Vision GitHub Wiki

Course Slides links for different Universities

http://6.869.csail.mit.edu/fa12/materials.html

https://inst.eecs.berkeley.edu/~cs280/sp15/

https://filebox.ece.vt.edu/~jbhuang/teaching/ece5554-4554/fa17/lectures.html

https://users.metu.edu.tr/alatan/

https://www.cse.psu.edu/~rtc12/CSE486/

https://www.engppt.com/2012/09/computer-vision-ppt-and-pdf-lecture_6.html

http://16385.courses.cs.cmu.edu/spring2021/lectures

https://courses.cs.washington.edu/courses/cse455/23wi/

https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/

https://www.cs.cornell.edu/courses/cs4670/2018sp/

https://cs.brown.edu/courses/cs143/2013/

http://vision.stanford.edu/teaching/cs131_fall1718/files/

https://www.cs.princeton.edu/courses/archive/spr02/cs496/outline.html

Books

Rafael C. Gonzalez, Richard E. Wods - Digital Image Processing Version 3

Alan C. Bovik - The Essential Guide to Image Processing

S. Jayaraman - Digital Image Processing-Tata McGraw-Hill Education

Rafael C. Gonzalez, Richard E. Woods - Digital Image Processing-Pearson Version 2

Milan Sonka_Image Processing and Machine Vision.pdf

Best Resource to understand fundamentals of Image Processing

https://www.drssridhar.com/?page_id=45

BOOKS on OPENCV

Adrian Rosebrock - Practical Python and OpenCV-Py Image Search.pdf

Robert Laganiere - Opencv 3 Computer Vision Application_compressed.pdf

Syllabus

Machine Vision Syllabus.pdf

Course Plan

BCSE417L_Machine_Vision_Course_plan.pdf

Materials

https://gsp.humboldt.edu/olm/Courses/GSP_216/lessons/composites.html

https://www.edge-ai-vision.com/2017/10/beyond-visible-light-applications-in-computer-vision/

https://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT14/lecture12.html

https://en.wikipedia.org/wiki/Histogram_equalization

https://homepages.inf.ed.ac.uk/rbf/HIPR2/wksheets.htm

https://www.drssridhar.com/?page_id=45

Spatial_filters.pdf

DIP_Lecture6.pdf

https://analyticsindiamag.com/a-guide-to-different-types-of-noises-and-image-denoising-methods/

1505.03489.pdf

https://medium.com/@anishaswain/noise-filtering-in-digital-image-processing-d12b5266847c

https://support.ptc.com/help/mathcad/r9.0/en/index.html#page/PTC_Mathcad_Help/wiener_filtering.html

https://www.geeksforgeeks.org/thresholding-based-image-segmentation/

https://www.baeldung.com/cs/otsu-segmentation

https://medium.com/@VK_Venkatkumar/optical-flow-shi-tomasi-corner-detection-sparse-lucas-kanade-horn-schunck-dense-gunnar-e1dae9600df

https://nanonets.com/blog/optical-flow/

optical-flow.pdf

optical-1.pdf

https://www.analyticsvidhya.com/blog/2021/05/image-segmentation-with-felzenszwalbs-algorithm/

DIGITAL_IMAGE_PROCESSING_NOTES.pdf

#New links

https://www.dynamsoft.com/blog/insights/image-processing/image-processing-101-image-enhancement/

Computer_vision_Introduction.pdf

https://samirkhanal35.medium.com/contrast-stretching-f25e7c4e8e33

https://en.wikipedia.org/wiki/Histogram_equalization

https://cuitutorial.com/basic-relationships-between-pixels/

https://www.youtube.com/watch?v=WXKC_r-ky5A

https://cuitutorial.com/basic-relationships-between-pixels/#google_vignette

https://analyticsindiamag.com/ai-trends/a-guide-to-different-types-of-noises-and-image-denoising-methods/

https://wiki.cloudfactory.com/docs/mp-wiki/augmentations/interpolation-methods

https://x-engineer.org/bilinear-interpolation/

https://encord.com/blog/image-thresholding-image-processing/

https://blog.roboflow.com/image-thresholding/

https://medium.com/@haidarlina4/sobel-vs-canny-edge-detection-techniques-step-by-step-implementation-11ae6103a56a

https://blog.roboflow.com/image-thresholding/

https://www.geeksforgeeks.org/image-thresholding-techniques-in-computer-vision/

https://medium.com/towards-data-science/canny-edge-detection-step-by-step-in-python-computer-vision-b49c3a2d8123

https://www.baeldung.com/cs/graph-based-segmentation

https://www.kaggle.com/code/vipulgandhi/spectral-clustering-detailed-explanation

segmentation2_graphcuts.pdf

Lecture11.pdf

Normalized Graph cuts.pdf

https://www.youtube.com/watch?v=wQG-sdtmhVQ

https://devskrol.com/2021/12/14/digital-image-processing-morphological-operations/

https://medium.com/@jaskaranbhatia/exploring-image-segmentation-techniques-watershed-algorithm-using-opencv-9f73d2bc7c5a

https://www.aegissofttech.com/articles/watershed-algorithm-and-limitations.html

https://datahacker.rs/013-optical-flow-using-horn-and-schunck-method/

https://nanonets.com/blog/optical-flow/