Worked on following topics:

Lab 1

• A review of numpy arrays and matrics + matplotlib

Read a image and creat a new image vertically concatenating it with its vertically inverted image

Lab 2

• Images

Convert gray scale image to BGR, Make an animated smooth transition from image I to J

Lab 3

• Videos & Histograms

Save video frames in reverse order, expand a histogram to get a better contrast

Lab 4

• Noise & Filtering

Gaussian noise, smooth image with a box kernel, smoothing with a Gaussian kernel, Bilateral filter

Lab 5

• Reading from camera video device, edge detection

Compute the Gradients, Edge detection (Sobel, Laplacian, Canny

Lab 6

• Connected Components, Thresholding, Morphology

Count number of beans in image, simple background subtraction

Lab 7

• Hough Transform

Count number of coins in image,

Lab 8

• Corner Detection

Find polygons in bunch of images

Lab 9

• Image pyramid, multiscale corner detection

Image down sampling, multiscale corner detection

Lab 10

• SIFT detection, description, and matching

Detect SIFT key points for sequence of images and displays their locations, feature description and matching

Task: We have pictures of bunch of objects. Your task is to find out if the object exists in the scene image.

Lab 11

• Geomatric image transformation

Eucliden (Rigid) transformation, similarity transform, Affine transformation, Perspective transformation(Homography)

Task: Estimating a homography transformation from point correspondences, perspective correction

Lab 12

• Feature-based image alignment, RANSAC

Robust estimation with RANSAC, image alignment, draw object outline

Lab 13

• Image classification

Linear support vector machine, RBF SVM, K-Nearest neighbors(KNN), Random Forest, HOG & LBP features

Tasks: a program that reads the images from dataset and randomly displays four examples of each Persian digit

Tasks: classify persian digits using features