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Fundamentals of Digital Image Processing
Learn of the fundamentals of digital image processing including image formation and geometry in this free online course
Description
This course begins by introducing you to the concept of digital image processing. You will learn about the numerous applications of digital image processing in the fields of medicine, automated inspection, and remote sensing. You will also learn about image digitization, signal reconstruction from samples, and also learn how to calculate the Fourier Transform of a convoluted signal.
The course then moves on to introduce the second phase of image digitization process - quantization of sample values. You will learn the rules and importance of quantization in image digitization. Afterwards, you will learn about pixel neighbourhood as the first relationship between the pixels of an image. You will also learn about the concept of connectivity, adjacency, the different types of adjacency and pixel neighbourhood.
Next, you will be introduced to simple basic mathematical transformations which will include translation, rotation, along with scaling in two-dimension and three-dimension. You will learn inverse perspective transformation, as well as gain an understanding of the relationship between the Cartesian coordinate system and a homogenous coordinate system. Finally, you will acquire a great skill of learning how camera calibration is done for any given imaging setup. Start this course today, and learn valuable skills in the fundamentals of digital image processing.
Inicio Curso AhoraModules
Digital Image Processing
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Digital Image Processing - Learning Outcomes
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Introduction to Digital Image Processing
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Applications of Digital Image Processing
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Image Digitization, Sampling Quantization and Display
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Signal Reconstruction from Samples: Convolution Concept
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Signal Reconstruction from Image
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Digital Image Processing - Lesson Summary
Quantizer Design, Pixels and Adjacency
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Quantizer Design, Pixels and Adjacency - Learning Outcomes
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Quantizer Design
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Relationship between Pixels
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Relationship of adjacency and Connected Components Labeling
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Application of Distance Measures
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Basic Transform
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Quantizer Design, Pixels and Adjacency - Lesson Summary
Image Formation and Geometry
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Image Formation and Geometry - Learning Outcomes
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Image Formation - I
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Image Formation - II
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Image Geometry - I
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Image Geometry - II
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Image Formation and Geometry - Lesson Summary
Course assessment
Learning Outcomes
Upon successful completion of this course, you will be able to:
- Define Digital Image Processing
- Explain the importance of image processing
- Outline the scenarios that can make an image blurry
- Explain the application of digital image processing techniques in the field of medicine and remote sensing
- Discuss translation, rotation and scaling as mathematical transformations
- Describe the relationship between Cartesian Coordinate System and Homogeneous Coordinate System
- Explain the concept of Inverse Perspective Transformation
- Discuss the importance of perspective transformation in digital image processing
- Explain the homogeneous coordinate system
- Describe how the conversion from Cartesian to the homogeneous coordinate system is done
Certification
All Alison courses are free to study. To successfully complete a course you must score 80% or higher in each course assessments. Upon successful completion of a course, you can choose to make your achievement formal by purchasing an official Alison Diploma, Certificate or PDF.
Having an official Alison document is a great way to celebrate and share your success. It is:
- Ideal to include with CVs, job applications and portfolios
- A way to show your ability to learn and achieve high results
