×
Create CV Books Summaries Online Courses Blog Communities

Login

Sign up
MindLuster Logo
Categories
Recent

Join Our Telegram Channel Now to Get Any New Free Courses : Click Here

Lec 21 Image Features and Edge Detection

Share your inquiries now with community members Click Here
Previous Lesson Next Lesson
Sign Up and Get Free Certificate
Sign up Now
Lesson extensions

Lessons List | 42 Lesson
Computer Vision and Image Processing – Fundamentals and Applications Intro Video
00:08:02

Computer Vision and Image Processing – Fundamentals and Applications Intro Video
Lec 1 Introduction to Computer Vision
00:46:31

Lec 1 Introduction to Computer Vision
Lec 2 Introduction to Digital Image Processing
00:55:46

Lec 2 Introduction to Digital Image Processing
Lec 3 Image Formation Radiometry
00:41:26

Lec 3 Image Formation Radiometry
Lec 4 Shape From Shading
00:48:53

Lec 4 Shape From Shading
Lec 5 Image Formation Geometric Camera Models I
00:31:16

Lec 5 Image Formation Geometric Camera Models I
Lec 6 Image Formation Geometric Camera Model II
00:21:11

Lec 6 Image Formation Geometric Camera Model II
Lec 7 Image Formation Geometric Camera Model III
01:09:27

Lec 7 Image Formation Geometric Camera Model III
Lec 8 Image Formation in a Stereo Vision Setup
01:01:45

Lec 8 Image Formation in a Stereo Vision Setup
Lec 9 Image Reconstruction from a Series of Projections
00:42:44

Lec 9 Image Reconstruction from a Series of Projections
Lec 10 Image Reconstruction from a Series of Projections
00:32:59

Lec 10 Image Reconstruction from a Series of Projections
Lec 11 Image Transforms I
00:42:34

Lec 11 Image Transforms I
Lec 12 Image Transforms II
00:58:35

Lec 12 Image Transforms II
Lec 13 Image Transforms III
00:48:29

Lec 13 Image Transforms III
Lec 14 Image Transforms IV
01:14:32

Lec 14 Image Transforms IV
Lec 15 Image Enhancement
01:01:29

Lec 15 Image Enhancement
Lec 16 Image Filtering I
01:00:28

Lec 16 Image Filtering I
Lec 17 Image Filtering II
01:04:47

Lec 17 Image Filtering II
Lec 18 Colour Image Processing I
00:41:37

Lec 18 Colour Image Processing I
Lec 19 Colour Image Processing II
01:17:56

Lec 19 Colour Image Processing II
Lec 20 Image Segmentation
00:54:01

Lec 20 Image Segmentation
Lec 21 Image Features and Edge Detection
01:10:18

Lec 21 Image Features and Edge Detection
Lec 22 Edge Detection
00:59:14

Lec 22 Edge Detection
Lec 23 Hough Transform
00:38:22

Lec 23 Hough Transform
Lec 24 Image Texture Analysis I
00:58:23

Lec 24 Image Texture Analysis I
Lec 25 Image Texture Analysis II
00:42:27

Lec 25 Image Texture Analysis II
Lec 26 Object Boundary and Shape Representations I
00:45:50

Lec 26 Object Boundary and Shape Representations I
Lec 27 Object Boundary and Shape Representations II
00:57:55

Lec 27 Object Boundary and Shape Representations II
Lec 28 Interest Point Detectors
00:51:28

Lec 28 Interest Point Detectors
Lec 29 Image Features HOG and SIFT
01:08:24

Lec 29 Image Features HOG and SIFT
Lec 30 Introduction to Machine Learning I
00:40:57

Lec 30 Introduction to Machine Learning I
Lec 31 Introduction to Machine Learning II
00:56:13

Lec 31 Introduction to Machine Learning II
Lec 32 Introduction to Machine Learning III
01:25:03

Lec 32 Introduction to Machine Learning III
Lec 33 Introduction to Machine Learning IV
00:51:14

Lec 33 Introduction to Machine Learning IV
Lec 34 Introduction to Machine Learning V
01:09:35

Lec 34 Introduction to Machine Learning V
Lec 35 Artificial Neural Network for Pattern Classification I
01:00:49

Lec 35 Artificial Neural Network for Pattern Classification I
Lec 36 Artificial Neural Network for Pattern Classification II
01:07:37

Lec 36 Artificial Neural Network for Pattern Classification II
Lec 37 Introduction to Deep Learning
01:10:33

Lec 37 Introduction to Deep Learning
Lec 38 Gesture Recognition
01:18:09

Lec 38 Gesture Recognition
Lec 39 Background Modelling and Motion Estimation
00:45:03

Lec 39 Background Modelling and Motion Estimation
Show More Lessons

Comments

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

We Appreciate Your Feedback

Excellent
3 Reviews
Good
4 Reviews
medium
1 Reviews
Acceptable
0 Reviews
Not Good
1 Reviews
3.9
9 Reviews
Saurav Singh

. 2025-04-05

Manvendra Singh

Good 2025-04-05

Saurabh Kumar Atoliya

b 2025-04-05

Sankalp vijay

bgh 2025-04-05

Show More Reviews


Related Courses in Computer Science
Linear Algebra for Computer Scientists
7 Lessons

Linear Algebra for Computer Scientists

Insertion Sort
3 Lessons

Insertion Sort

Bubble Sort
4 Lessons

Bubble Sort

GCSE Computer Science
18 Lessons

GCSE Computer Science

Random Access Memory
7 Lessons

Random Access Memory

Binary Trees
4 Lessons

Binary Trees

Bitwise Operators
4 Lessons

Bitwise Operators

Introduction to Stacks Data Structures
17 Lessons

Introduction to Stacks Data Structures

Organization Theory Structure and Design
41 Lessons

Organization Theory Structure and Design

Handling Large Scale Unit Level Data
41 Lessons

Handling Large Scale Unit Level Data

Introduction to Machine Learning
19 Lessons

Introduction to Machine Learning

Applied Linear Algebra Vectors Matrices
54 Lessons

Applied Linear Algebra Vectors Matrices

Artificial Intelligence beginners
1 Lessons

Artificial Intelligence beginners

Machine Learning Autumn 2018
1 Lessons

Machine Learning Autumn 2018

Robotics and Autonomous Systems
15 Lessons

Robotics and Autonomous Systems

Natural Language Understanding
15 Lessons

Natural Language Understanding

Course Description

Digital Image Processing course in hindi, in this course covers techniques to manipulate and analyze digital images for various applications in computer vision and image analysis.
Trends
Recent
Previous Lesson Next Lesson