Machine Vision course

Shahid Beheshti University

Alireza Azadbakht | Alireza Javaheri

this course contains four main projects and one research:

1. Filters

in this project, we try to implement 3 main filters and transformations in machine vision and an implementation of convolution: SOBEL FILTER & CANNY FILTER & HOUGH TRANSFORMATION
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2. sift algorithm

in this project , we implement scale-invariant feature transform (SIFT) a feature detection algorithm . Readmore

3. Bag of Visual Words

in this project, we follow the steps in Wikipedia and toward data science post about BoVW to implement this method in object recognition Readmore

4. Convolutional neural network

in this project, we try to use tensorflow api to create a Convolutional neural networkto work with mnist data set and get results Readmore

5. Recurrent neural network [Research]

our task here was to reasearch about Recurrent neural networks and their aplications Readmore