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MATLAB and Digital Image Processing

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MATLAB and Digital Image Processing, available at $19.99, has an average rating of 3.8, with 92 lectures, based on 88 reviews, and has 856 subscribers.

You will learn about Will able to know how Images work Learn not just MATLAB commands but also MAKE your "OWN CODES " Apply concepts in "Image Acquasition and Image Editing Apps(" if your going making them") Build Apllication – starting with Stand Alone Application for Image Presets and many more application …yet to come !! This course is ideal for individuals who are Who want to know how Images Work or Who want to learn step by step or Who want to know how presets are designed or Who want to know how Pixlr and Litely app works or want to take image processing to new level It is particularly useful for Who want to know how Images Work or Who want to learn step by step or Who want to know how presets are designed or Who want to know how Pixlr and Litely app works or want to take image processing to new level.

Enroll now: MATLAB and Digital Image Processing

Summary

Title: MATLAB and Digital Image Processing

Price: $19.99

Average Rating: 3.8

Number of Lectures: 92

Number of Published Lectures: 92

Number of Curriculum Items: 92

Number of Published Curriculum Objects: 92

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Will able to know how Images work
  • Learn not just MATLAB commands but also MAKE your "OWN CODES "
  • Apply concepts in "Image Acquasition and Image Editing Apps(" if your going making them")
  • Build Apllication – starting with Stand Alone Application for Image Presets
  • and many more application …yet to come !!

Who Should Attend

  • Who want to know how Images Work
  • Who want to learn step by step
  • Who want to know how presets are designed
  • Who want to know how Pixlr and Litely app works
  • want to take image processing to new level

Target Audiences

  • Who want to know how Images Work
  • Who want to learn step by step
  • Who want to know how presets are designed
  • Who want to know how Pixlr and Litely app works
  • want to take image processing to new level

— Join the Course only IF —

+ Looking Systematic approach to the Subject

+ Programming is a problem.

+ Not just Theory but Practicals works for you.

+ Need comprehensive and detailed toolbox idea

+ can’t spend more than a cost of book

+ looking for Inside OUT approach in which you can create something on your own with Basics intact.

————————————————————————————-

In the end you will be able to :

  • Perform operations on Images.
  • Easily able to Manipulate, Code and Play with Images.
  • You will be able to optimise your own codes.
  • You will be efficient to work on MATLAB
  • Finally you will be able to use Image Processing Toolbox efficiently.

    • ———————————————————————————————

    BONUS —

    • You will get all the MATLAB codes written by me and shown in Tutorial absolutely free !!
    • We will also be developing an Applications at the end of the course !! (to bring Learning into Practical).
    • thats not it –> I will be uploading more applications in the coming weeks and Months.
  • You will also develop skill to program and develop your own way of processing Images.

  • You will learn all the standard methods and techniques used Globally.

    • Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction to Image Processing

    Lecture 2: A quick overview of MATLAB computing environment

    Chapter 2: Acquiring and Handling Images

    Lecture 1: Small Introduction to Images and its skeleton

    Lecture 2: Aquiring Displaying and Saving Image

    Lecture 3: Aquiring Image through Webcam Ver.1

    Lecture 4: Aquiring Images from Webcame Ver.2

    Lecture 5: Create a Video File from Webcam

    Lecture 6: Create a Video File from Webcam

    Lecture 7: Creating your Own Images – (Your Own Code)

    Lecture 8: Creating your Own Images – (Your Own Code)

    Chapter 3: Functions

    Lecture 1: Learn creating Your Own Fuction

    Lecture 2: Udemy Function – "Your Own Function"

    Chapter 4: Image enhancement techniques

    Lecture 1: Image arithmetic operations (Vector Method)

    Lecture 2: Image arithmetic operations (Vector Method)

    Lecture 3: Image arithmetic operations- (Your Own Code)

    Lecture 4: Image arithmetic operations- (Iteration or Loop method)

    Lecture 5: Negative Image – (Your Own Code)

    Lecture 6: Negative Image – (Your Own Code)

    Lecture 7: Power Transforms -Gamma functions- (Your Own Code)

    Lecture 8: Power Transforms -Gamma functions- (Your Own Code)

    Lecture 9: Cropping and Resizing images

    Lecture 10: Cropping and Resizing images

    Lecture 11: Image alignment correction: rotating images

    Chapter 5: Point Processing – Pixel by Pixel

    Lecture 1: Point Processing In Images Introduction

    Lecture 2: Thresholding (Matlab Code)

    Lecture 3: Thresholding (Matlab Code)

    Lecture 4: Thresholding – (Your Own Code)

    Lecture 5: Thresholding – (Your Own Code)

    Lecture 6: Slicing Image -(Your Own Code)

    Lecture 7: Slicing Image -(Your Own Code) – No – background

    Lecture 8: Slicing Image -(Your Own Code) – with – background

    Lecture 9: Bit Manipulation- (Your Own Code)

    Lecture 10: Bit Manipulation- (Your Own Code)

    Chapter 6: Image enhancement techniques -Histogram Modelling

    Lecture 1: Image histogram operations: Introduction

    Lecture 2: Create Histogram – (Your Own Code)

    Lecture 3: Create Histogram – (Your Own Code)

    Lecture 4: Linear Stretching Histogram – (Your Own Code)

    Lecture 5: Linear Stretching Histogram – (Your Own Code)

    Lecture 6: Histogram Equalization – (Matlab Technique)

    Chapter 7: Block Processing -Image filtering

    Lecture 1: Sliding neighborhood operations

    Lecture 2: Filters – (Matlab Codes)

    Lecture 3: Low Pass Filter-(Your own Code)

    Lecture 4: Low Pass Filter-(Your own Code)

    Lecture 5: High Pass Filter — (Your Own Code)

    Lecture 6: High Pass Filtering Technique-(Your Own Code)

    Lecture 7: High Boost Filtering Technique-(Your Own Code)

    Lecture 8: High Boost Filtering Technique-(Your Own Code)

    Lecture 9: Median Filtering – (Your Own Code)

    Lecture 10: Median Filtering – (Your Own Code)

    Chapter 8: Edge detection related operations

    Lecture 1: Edges In Image -Introduction

    Lecture 2: Sobel,Prewitt,Roberts,LoG — (Matlab Code)

    Lecture 3: A Simple Operator — (Your Own Code)

    Lecture 4: Ordinary Operator — (Your Own Code)

    Lecture 5: Sobel Operator–(Your Own Code)

    Lecture 6: Sobel Operator–(Your Own Code)

    Lecture 7: Prewitts Operator — (Your Own Code)

    Chapter 9: Image morphological operations

    Lecture 1: Bridging unconnected pixels, cleaning, closing, and opening

    Lecture 2: Dilation and erosion – (Matlab Code)

    Lecture 3: Dilation and erosion – (Matlab Code)

    Lecture 4: Dilation and Erosion Of Pseudo Image – (Your Own Code)

    Lecture 5: Dilation and Erosion Of Pseudo Image – (Your Own Code)

    Lecture 6: Dilation and erosion – (Your Own Code)

    Lecture 7: Dilation and erosion – (Your Own Code)

    Chapter 10: Playing With Color Images

    Lecture 1: A short Introduction of ColorSpace – RGB , HSV , YCbCr , NTSC

    Lecture 2: Image Conversion — (Matlab Code)

    Lecture 3: Image Conversion — (Matlab Code)

    Lecture 4: Displaying RGB Plnae –(Your Own Code)

    Lecture 5: Displaying RGB Plnae –(Your Own Code)

    Lecture 6: Convering Image to YCbCr – (Your Own Code)

    Lecture 7: Convering Image to YCbCr – (Your Own Code)

    Lecture 8: Histogram Equalization of Color Image

    Lecture 9: Histogram Equalization of Color Image – CODE

    Lecture 10: Smoothing Image – (Your Own Code)

    Lecture 11: Smoothing Image – (Your Own Code)

    Lecture 12: Sharpening Image – (Your Own Code)

    Lecture 13: Sharpening Image – (Your Own Code)

    Lecture 14: Color Segmentation using RGB Model – (Your Code)

    Lecture 15: RGB color Segment – (OUR CODE)

    Lecture 16: Color Segmentation using HSV Model – (Your Own Code)

    Lecture 17: HSV CODE 1

    Lecture 18: HSV CODE 2 – Main Program – (Our Code)

    Chapter 11: Creating Application No.1 – Image Filters Application

    Lecture 1: Understanding Interface

    Lecture 2: Understanding Interface II

    Lecture 3: Putting Image Windows

    Lecture 4: Putting Elements- Buttons

    Lecture 5: Putting Elements- Buttons

    Lecture 6: Putting Elements

    Lecture 7: Changing Background and Logo

    Lecture 8: Finally Completed 😉

    Instructors

    Rating Distribution

    • 1 stars: 4 votes
    • 2 stars: 7 votes
    • 3 stars: 27 votes
    • 4 stars: 23 votes
    • 5 stars: 27 votes

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