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30 SEATS

COURSE INSTRUCTOR

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Deepthi

Image Processing Expert

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BASIC INFORMATION

  • Lessons : 8
  • Length : 6 Months
  • Level : Basic
  • Category : Software Training
  • Started : 01-04-2019
  • Shift : 02
  • Class : 120

Image Processing Training and Course Description

We are the best providers of Image Processing Training in Chennai with excellent placements. Our training program is very much mixed both practical and interview point of questions. It will helpful for the companies and students who are willing to learn Image Processing with live projects. We already build a perfect solution of Image Processing Placements exclusively for our students. We always schedule a demo class for each course for the new inquired students. It is completely FREE. It takes your 45mins of time. Once you attended the demo session you got the idea about what you are going to learn in Image Processing with us. Simply, we are the best Image Processing Training Institute in Chennai where you can learn the technology to core.

Our Image Processing Syllabus is crafted by many MNC HR’s and Experts which already satisfied many of the corporate. We are also having a separate dynamic division for client projects. By placement, course syllabus and practicals we are the BEST Image Processing TRAINING INSTITUTE IN CHENNAI.

Image Processing Training and Course Syllabus

Module 1: Introduction

  • Motivation
  • Why is Computer Vision Difficult?
  • Image Representation and Image Analysis Tasks
  • MATLAB - general concepts
  • Image processing using the MATLAB Image Processing Toolbox
  • Image representations
  • Image digitalization
  • Digital image Properties
  • Color (overview)
  • Cameras (overview)
  • Levels of Image Data Representation
  • Traditional Image Data Structures
  • Hierarchical Data Structures
  • Pixel Brightness Transformations
  • Geometric Transformations
  • Local Pre-Processing
  • Image Restoration
  • Thresholding
  • Edge-based Segmentation
  • Region-based Segmentation
  • Matching
  • Evaluation Issues in Segmentation
  • Overview
  • Linear Integral Transforms
  • Image Data Properties
  • Discrete Image Transforms in Image Data Compression