Digital Image Processing
About Digital Image Processing
The use of a digital computer to run an algorithm on digital photographs is known as "digital image processing." Digital image processing offers significant benefits over analog image processing as a subfield or area of digital signal processing.
Why is Digital Image Processing important?
Picture processing's primary goal is to convert a physical image into a digital format and apply various operations to it in order to create certain models or extract information from the image. Image processing in the future will include searching the cosmos for extraterrestrial intelligent life. Advances in image processing applications will also be present in new intelligent, digital species developed entirely by research scientists in different countries around the world.
Who should take the Digital Image Processing Exam?
- Software managers, senior executives, executives
- Image Signal Processing Engineer
- Data Scientist
- Digital Image Analyst
- Students in the Software, IT, and Engineering fields.
Digital Image Processing Certification Course Outline
- Digital Image Processing Fundamentals
- Spatial and Intensity Resolution, Concept of Interpolation
- Intensity Transformations and Spatial Filtering - Background
- Some Basic Intensity Transformation Functions
- Piece-wise Linear Transformations
- Histograms
- Spatial Filtering
- Color Models
- Morphological image processing
- Erosion and Dilation
- Image Segmentation