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Image Processing Masterclass
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Registration form for 30 DAYS CHALLENGE ON IMAGE PROCESSING ( Open CV) MASTER CLASS
The Objective of this Webinar Series is to facilitate the participants to get cognizance of the concepts dealt with for substantial utilization of the same into studying, teaching, Research work, and Upgrading.
YouTube : Live
12 October 2022 - 11th November ,2022 | YouTube : Live | Time: 6-6.45 PM IST
DAY TOPICS
✅Day1 Introduction to computer vision and its application
✅Day2 Read,write and color conversion of images
✅Day3 Apply smoothing techniques for images
✅Day4 Detecting edges from images
✅Day5 Purpose of morphology techniques
✅Day6 Different thresholding techiques
✅Day7 Contour Detection Technique
✅Day8 How to segment an image using K-Means?
✅Day9 Apply color masking to different images
✅Day10 What is otsu thresholding?
✅Day11 Inserting shapes and texts to images
✅Day12 How to play video In reverse mode?
✅Day13 Optical character recognition
✅Day14 Histogram equalization using opencv
✅Day15 Mutiple color detection using HSV
✅Day16 Detection of lines using hough lines
✅Day17 Detection of multiple shapes using edge detection
✅Day18 How to blend images using image pyramids
✅Day19 Multiple filters used in image processing
✅Day20 Background subraction using Threshold
✅Day21 Implementation of template matching
✅Day22 Working with Scalar Invariant Feature Tranform(SIFT)
✅Day23 Working with PILLOW package
✅Day24 Face counting system using haar cascade
✅Day25 Age and gender detection
✅Day26 Hand gesture detection
✅Day27 Image classification using KNN
✅Day28 Cartooning an image using opencv
✅Day29 Barcode and QR-code recognition
✅Day30 Sudoku solver using image processing
#shorts #pantechelearning #pantech
The Objective of this Webinar Series is to facilitate the participants to get cognizance of the concepts dealt with for substantial utilization of the same into studying, teaching, Research work, and Upgrading.
YouTube : Live
12 October 2022 - 11th November ,2022 | YouTube : Live | Time: 6-6.45 PM IST
DAY TOPICS
✅Day1 Introduction to computer vision and its application
✅Day2 Read,write and color conversion of images
✅Day3 Apply smoothing techniques for images
✅Day4 Detecting edges from images
✅Day5 Purpose of morphology techniques
✅Day6 Different thresholding techiques
✅Day7 Contour Detection Technique
✅Day8 How to segment an image using K-Means?
✅Day9 Apply color masking to different images
✅Day10 What is otsu thresholding?
✅Day11 Inserting shapes and texts to images
✅Day12 How to play video In reverse mode?
✅Day13 Optical character recognition
✅Day14 Histogram equalization using opencv
✅Day15 Mutiple color detection using HSV
✅Day16 Detection of lines using hough lines
✅Day17 Detection of multiple shapes using edge detection
✅Day18 How to blend images using image pyramids
✅Day19 Multiple filters used in image processing
✅Day20 Background subraction using Threshold
✅Day21 Implementation of template matching
✅Day22 Working with Scalar Invariant Feature Tranform(SIFT)
✅Day23 Working with PILLOW package
✅Day24 Face counting system using haar cascade
✅Day25 Age and gender detection
✅Day26 Hand gesture detection
✅Day27 Image classification using KNN
✅Day28 Cartooning an image using opencv
✅Day29 Barcode and QR-code recognition
✅Day30 Sudoku solver using image processing
#shorts #pantechelearning #pantech