Fundamentals of Computer Vision
Published 4/2025
Duration: 5h 48m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.13 GB
Genre: eLearning | Language: English
Published 4/2025
Duration: 5h 48m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.13 GB
Genre: eLearning | Language: English
Digital Image processing, OpenCV
What you'll learn
- Digital Image processing
- Opencv
- Color Thresholding
- Edge detection
- Filters, smoothing, blurring, sharpening, Laplacian filter
- Low pass, high pass, band pass, and band reject filters
- Object detection
- Object tracking
- Color spaces, RGB,HSV,Lab
- Logical Operations on Digital images
- arithmetic operations on Digital Images
Requirements
- No programming experience is required everything's been covered
Description
Do you want to masterDigital Image Processingand apply it inAI, computer vision, medical imaging, robotics, and more? This course is your complete guide toimage transformation, filtering, and analysisusingPython and MATLAB! Whether you’re a beginner or an experienced professional, this course will help you build a solid foundation in image processing techniques used in real-world applications across multiple industries.
What You Will Learn:
Image Arithmetic & Logical Operations– Learn blending, masking, and manipulation.
Linear Filters– Master Gaussian, Box, Low-Pass, High-Pass, Band-Pass, and Band-Reject filters.
Non-Linear Filters– Explore Laplacian filtering, Unsharp Masking, and Smoothing techniques.
Color Processing & Thresholding– Work with RGB, HSV, and Lab color spaces for segmentation.
Edge Detection & Enhancement– Apply Sobel, Prewitt, and Canny edge detection techniques.
Noise Removal & Image Restoration– Reduce noise using median and adaptive filters.
Real-World Applications– Implement image enhancement, object detection, and pattern recognition.
Why Take This Course?
Hands-on projects withreal-world examples
Step-by-step coding inPython & MATLAB
Practical exercises to reinforce your learning
Perfect forstudents, engineers, AI enthusiasts, and researchers
Gain skills applicable toAI, medical imaging, robotics, and industrial automation
By the end of this course, you’ll be able toprocess, analyze, and enhance images like a pro! You will also gain the skills needed forcomputer vision, deep learning, and AI-driven image analysis.
No prior experience needed– Start your journey in Digital Image Processing today!
Enroll now and transform the way you see images!
Who this course is for:
- Those who want to invest time learning OpenCV, Computer vision
More Info