Image Processing - Syllabus

Definition, domain, and range of functions. Understanding the concept of functions and their representations.

Understanding the graphical representation of functions, including the vertical line test and piecewise defined functions.

Introduction to common functions including linear, power, polynomial, and rational functions.

Shifting and scaling graphs, sums, differences, products, and quotients of functions, and composite functions.

Using calculators and computers to plot graphs of functions.

Definition, exponential behavior, and exponential growth and decay.

Understanding inverse functions and logarithms.

Understanding the rate of change and tangent to curves.

This topic covers the process of putting a system into operation, including software application testing, installation, documenting the system, training and supporting users, and organizational issues in systems implementation.

This topic focuses on the testing of software applications to ensure they meet the required standards and are free from errors.

This topic covers the process of installing a system, including the setup and configuration of hardware and software components.

This topic emphasizes the importance of documenting a system, including its design, development, and operation.

This topic covers the training and support provided to users to ensure they can effectively use the system.

This topic explores the organizational issues that arise during systems implementation, including change management and stakeholder engagement.

This topic covers the ongoing maintenance of information systems to ensure they continue to meet the needs of the organization.

This topic focuses on the activities involved in conducting systems maintenance, including troubleshooting, updating, and repairing systems.

Linear filters are a type of spatial filter used to enhance image quality. This topic covers the concepts of linear filters, including averaging and weighted averaging filters.

Non-linear filters are a type of spatial filter used to enhance image quality. This topic covers the concepts of non-linear filters, including median, maximum, and minimum filters.

High pass sharpening filters are used to sharpen image details. This topic covers the concepts of high pass sharpening filters, including high boost and high frequency emphasis filters.

Gradient based filters are used to detect edges and enhance image details. This topic covers the concepts of gradient based filters, including Robert Cross Gradient Operators, Prewitt filters, and Sobel filters.

Second derivative and Laplacian filters are used to detect edges and enhance image details. This topic covers the concepts of second derivative and Laplacian filters and their applications in image processing.

Magnification by replication and interpolation are techniques used to enlarge images. This topic covers the concepts of magnification by replication and interpolation, and their applications in image processing.

A technique used to grow regions from seed points based on similarity in intensity, color, or texture.

A technique used to split or merge regions based on their similarity in intensity, color, or texture.

Histogram processing is a technique used to modify the intensity distribution of an image. This topic covers the principles and applications of histogram processing in image enhancement.

Histogram equalization is a technique used to improve the contrast of an image by flattening its intensity histogram. This topic covers the principles and applications of histogram equalization in image enhancement.

Histogram modification is a technique used to modify the intensity distribution of an image. This topic covers the principles and applications of histogram modification in image enhancement.

Spatial filtering is a technique used to modify the intensity of an image based on the values of neighboring pixels. This topic covers the principles and applications of spatial filtering in image enhancement.

Averaging is a technique used to reduce noise in an image by averaging the intensity values of neighboring pixels. This topic covers the principles and applications of averaging in image enhancement.

Smoothing is a technique used to reduce noise in an image by averaging the intensity values of neighboring pixels. This topic covers the principles and applications of smoothing in image enhancement.

Sharpening is a technique used to enhance the edges of an image. This topic covers the principles and applications of sharpening in image enhancement.

Median filtering is a technique used to reduce noise in an image by replacing each pixel value with the median value of neighboring pixels. This topic covers the principles and applications of median filtering in image enhancement.

Spatial low pass filtering is a technique used to remove high-frequency noise from an image. This topic covers the principles and applications of spatial low pass filtering in image enhancement.

Spatial high pass filtering is a technique used to remove low-frequency noise from an image. This topic covers the principles and applications of spatial high pass filtering in image enhancement.

Spatial band pass filtering is a technique used to remove noise from an image by filtering out specific frequency bands. This topic covers the principles and applications of spatial band pass filtering in image enhancement.

This topic covers the process of putting a system into operation, including software application testing, installation, documenting the system, training and supporting users, and organizational issues in systems implementation.

This topic focuses on the testing of software applications to ensure they meet the required standards and are free from errors.

This topic covers the process of installing a system, including the setup and configuration of hardware and software components.

This topic emphasizes the importance of documenting a system, including its design, development, and operation.

This topic covers the training and support provided to users to ensure they can effectively use the system.

This topic explores the organizational issues that arise during systems implementation, including change management and stakeholder engagement.

This topic covers the ongoing maintenance of information systems to ensure they continue to meet the needs of the organization.

This topic focuses on the activities involved in conducting systems maintenance, including troubleshooting, updating, and repairing systems.

This topic covers the process of putting a system into operation, including software application testing, installation, documenting the system, training and supporting users, and organizational issues in systems implementation.

This topic focuses on the testing of software applications to ensure they meet the required standards and are free from errors.

This topic covers the process of installing a system, including the setup and configuration of hardware and software components.

This topic emphasizes the importance of documenting a system, including its design, development, and operation.

This topic covers the training and support provided to users to ensure they can effectively use the system.

This topic explores the organizational issues that arise during systems implementation, including change management and stakeholder engagement.

This topic covers the ongoing maintenance of information systems to ensure they continue to meet the needs of the organization.

This topic focuses on the activities involved in conducting systems maintenance, including troubleshooting, updating, and repairing systems.

Linear filters are a type of spatial filter used to enhance image quality. This topic covers the concepts of linear filters, including averaging and weighted averaging filters.

Non-linear filters are a type of spatial filter used to enhance image quality. This topic covers the concepts of non-linear filters, including median, maximum, and minimum filters.