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Questions and Answers
Which of the following is NOT a field related to Digital Image?
Which of the following is NOT a field related to Digital Image?
What is Digital Image Processing?
What is Digital Image Processing?
The processing of digital images by means of a digital computer to improve pictorial information for human interpretation or to make it suitable for autonomous machine perception.
A digital image is defined as a two-dimensional function.
A digital image is defined as a two-dimensional function.
True
A signal is a mathematical function that conveys some __________.
A signal is a mathematical function that conveys some __________.
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Which course component has the highest percentage in grading?
Which course component has the highest percentage in grading?
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Name one application area of Digital Image Processing.
Name one application area of Digital Image Processing.
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What is one process in the low-level processes of Digital Image Processing?
What is one process in the low-level processes of Digital Image Processing?
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Image processing is the same as computer vision.
Image processing is the same as computer vision.
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The intensity of a digital image at point (x,y) is called its __________.
The intensity of a digital image at point (x,y) is called its __________.
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Study Notes
Course Details
- The course is Digital Image Processing, taken in the first semester of the 2022-2023 academic year at Mansoura University.
- The course is taught by Dr. Nehal Sakr.
- The course meeting time is Thursday, 12:30 to 2 pm.
- The course uses MATLAB for practical implementations.
- The course is graded on participation (5%), project (5%), practical exam (10%), oral exam (10%), midterm (10%), and final exam (60%).
Course Objectives
- The goal of the course is to become familiar with digital image fundamentals.
- The course aims to expose students to simple image enhancement techniques in both the spatial and frequency domains.
- The course will teach students about degradation functions and restoration techniques.
- The course will cover image segmentation and representation techniques.
- The course aims to introduce students to image compression and recognition methods.
Signals and Images
- A signal is a mathematical function that conveys information.
- Signals can be one-dimensional, two-dimensional, or higher dimensional.
- A one-dimensional signal is a signal that is measured over time, such as a voice signal.
- A two-dimensional signal is a signal that is measured over some other physical quantity, such as a digital image.
- An image can be defined as a two-dimensional function f(x, y) where x and y are spatial coordinates.
- The amplitude of f at any coordinate (x, y) is called the intensity or gray level of the image at that point.
- A digital image is an image where x, y, and intensity values are all finite, discrete quantities.
Fields Related to Digital Image
- Computer graphics focuses on the synthetic creation of images.
- Image processing involves enhancing or manipulating images, often resulting in a new image.
- Video processing is similar to image processing but involves processing multiple images or frames.
- Computer vision analyzes and understands image content.
- Pattern recognition automates the detection of patterns and regularities in data.
Digital Image Processing
- Digital image processing refers to the processing of digital images using a computer to either:
- Improve pictorial information for human interpretation.
- Render the image more suitable for autonomous machine perception.
- Digital image processing can be broken into low-, mid-, and high-level processes.
- Low-level processes involve inputting an image and outputting an image, such as noise removal or sharpening.
- Mid-level processes involve inputting an image and outputting attributes, such as object recognition or segmentation.
- High-level processes involve inputting attributes and outputting understanding, such as scene understanding and autonomous navigation.
- This course will focus on low- and mid-level processes.
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Description
Test your knowledge on the fundamentals of Digital Image Processing as taught in the first semester of the 2022-2023 academic year at Mansoura University. This quiz covers image enhancement techniques, degradation functions, segmentation, and recognition methods, emphasizing practical applications in MATLAB.
