Image Processing | OpenCV

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1 - Introduction

1 - Introduction.mp4

04:21

2 - Basic Modules in OpenCV

2 - Reading and writing an image.mp4

07:09

2 - birds.zip

2 - reading-image.txt

2 - writing-image.txt

3 - Color transformations.mp4

05:35

3 - birds.zip

3 - color-transformation.txt

4 - Addition and Subtraction Arithmetic Operations of images.mp4

06:34

4 - color-transformation.txt

4 - image1.zip

4 - image2.zip

5 - Bitwise Operations And Or Not Xor.mp4

09:44

3 - Image Manipulation

6 - Image Flip Rotation Brightness.mp4

04:32

6 - image-flipping.txt

6 - image-flipping-brightness.zip

6 - image-rotation.txt

6 - image-rotation.zip

6 - increasing-brightness.txt

7 - Image Resizing.mp4

02:50

7 - image-resizing.txt

7 - image-resizing.zip

8 - Image Blurring.mp4

04:34

8 - image-blurring.txt

8 - image-blurring.zip

4 - Image Enhancement

9 - Image Enhancement.mp4

06:04

9 - image-enhancement.txt

9 - image-enhancement.zip

5 - Noising and Denoising models

10 - Noising and Denoising models.mp4

17:19

10 - denoising-model1.txt

10 - denoising-model2.txt

10 - denoising-model3.txt

10 - noising-denoising.zip

10 - noising-model-1.txt

10 - noising-model-2.txt

6 - Morphological Processing Algorithms

11 - Understanding morphological processing.mp4

05:26

12 - Dilation and Erosion.mp4

07:32

12 - erosion-and-dilation.txt

12 - erosion-dilation.zip

13 - Opening and Closing.mp4

02:33

13 - morphological-closing.txt

13 - morphological-opening.txt

13 - morphological-opening-and-closing.zip

14 - Boundary Extraction and Region Filling.mp4

04:04

14 - boundary-extraction.txt

14 - boundary-extraction.zip

14 - region-filling.txt

14 - region-filling.zip

15 - Convex Hull and Finding Contours.mp4

05:57

15 - convex-hull.txt

15 - convex-hull.zip

15 - finding-contours.txt

15 - finding-contours.zip

7 - Image Segmentation

16 - Image Segmentation.mp4

10:09

16 - image-segmentation-edge-and-threshold-based.zip

16 - image-segmentation-edge-based.txt

16 - image-segmentation-threshold-based.txt

8 - ImageFeatures Descriptors

17 - Understanding Descriptors.mp4

02:54

18 - LBP and Wavelet Feature Extraction.mp4

04:26

18 - image-descriptor-LBP.txt

18 - image-descriptor-lbp-wavelet.zip

18 - image-descriptor-wavelet.txt

19 - Color Histogram.mp4

03:20

19 - color-histogram.txt

19 - color-histogram.zip

9 - Open CV and Deep Learning Building a Tumor Detection Model

20 - Deep-learning-Brain-tumor-classification.txt

20 - Open CV and Deep Learning Building a Tumor Detection Model.mp4

08:15

Description

Master OpenCV: Unlock the Power of Computer Vision & Image Processing

What You'll 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

Who is this for?

Python developers

Machine learning enthusiasts

Data scientists

Students

What You Need to Know?

Basic knowledge of python and machine learning

More details

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.
Who this course is for:
Python developers
Machine learning enthusiasts
Data scientists
Students

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Profile of Trainer Govind KumarSummaryOver 2 decades of experience managing Technology, Operations and Quality in top MNCs & startups. Held leadership roles (including Founder & CEO of an AI & Automation Startup) and managed businesses across Asia Pacific & Japan region.Expertise AI, Six Sigma and InnovationKey ExperiencesSuccessfully incubated Centers of Excellence for fraud prevention and service analytics. Significant experience in design thinking based product development and management. Played a critical role in developing products for emerging markets.Education & CertificationB. Tech and Full time MBA from top institutes in IndiaCertifications in six sigma and project management.AccoladesWon global awards in the areas of Customer Experience, Leadership Excellence, Quality and Technology.Featured in the cover of CIO Review Magazine.Board of Studies Member of the Board of Studies at Loyola College, Chennai, India (a 96 year old institution)

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