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Subject Syllabus

AL-701 - Computer Vision

AIML · Semester 7

Course Modules

Learn topic-wise with Hyper AI and revise using mapped PYQs.

Introduction to computer vision Introduction to images Image Processing VS Computer Vision Problems in Computer Vision Basic image operations Mathematical operations on images: Datatype Conversion, Contrast Enhancement, Brightness Enhancement Bitwise operations: Different Bitwise Operations

Binary Image Processing Thresholding Erosion / Dilation Overview on Opening and Closing Connected Component Analysis Contour Analysis

Image Enhancement and Filtering Color Spaces Color Transforms Histogram Equalization Advanced Histogram Equalization (CLAHE)Color Adjustment using Curves Image Filtering: Introduction to Image Filtering What is Convolution Image Smoothing: Box Blur, Gaussian Blur, Median Blur

Introduction to Image Gradients: First Order Derivative Filters, Second Order Derivative Filters Edge Detection Image Segmentation and Recognition Image Classification Object detection

Gesture Recognition Motion Estimation and Object Tracking Face detection Deep Learning with OpenCV