Master OpenCV: Unlock the Power of Computer Vision & Image Processing
What you will learn
What is image processing
How to use OpenCV to solve image problems
What is morphological operation
How to manipulate the images
How to add and subtract images
What are Noising and De-noising models
How to dilate and erode image
What is a color histogram
How to extract features from an image
What is Gaussian blur
Description
Unleash the power of computer vision with our comprehensive course on OpenCV and Image Processing. This dynamic course is designed for beginners and intermediate learners, delving deep into the practical aspects of computer vision, leveraging the OpenCV library.
- Start your journey with a brief introduction to OpenCV, understanding its history, significance, and varied applications.
- Swiftly move on to its installation process, setting up the coding environment in different operating systems.
- The course imparts foundational knowledge of image processing techniques such as image manipulation, filtering, and transformation using OpenCV.
- Get hands-on experience with real-world projects encompassing object detection, face recognition, optical character recognition, and more.
- Each project will hone your understanding of computer vision algorithms and how to implement them using OpenCV’s extensive features.
- Explore the exciting realm of machine learning in computer vision, applying sophisticated techniques like neural networks and deep learning.
- Understand how to work with video sequences, perform video analysis, and even tap into motion detection and tracking.
By the end of this course, you’ll have a strong grasp on OpenCV and Image Processing techniques, propelling you towards a promising career in computer vision. Whether you’re an aspiring data scientist, a robotics enthusiast, or a software developer, this course equips you with the skills to build powerful visual recognition systems.
English
language
Content
Introduction
Introduction
Basic Modules in OpenCV
Reading and writing an image
Color transformations
Addition and Subtraction (Arithmetic Operations) of images
Bitwise Operations: And, Or, Not, Xor
Image Manipulation
Image Flip, Rotation, Brightness
Image Resizing
Image Blurring
Image Enhancement
Image Enhancement
Noising and De-noising models
Noising and De-noising models
Morphological Processing & Algorithms
Understanding morphological processing
Dilation and Erosion
Opening and Closing
Boundary Extraction and Region Filling
Convex Hull and Finding Contours
Image Segmentation
Image Segmentation
Image/Features Descriptors
Understanding Descriptors
LBP and Wavelet Feature Extraction
Color Histogram
Open CV and Deep Learning: Building a Tumor Detection Model
Open CV and Deep Learning: Building a Tumor Detection Model