• Data Model, Programming and Visualization Tools

    1. Khoros Course

    1. Image Representation and Visualization

      1. Image Representation

      2. Image Visualization

      3. Image Statistics

      4. Pixel Overflow

      5. Data Type Conversion

    2. Image Manipulation

      1. Generation of Trapezoidal Data

      2. Generation of Sinusoidal Data

      3. Spatial Resolution/Image Composing

      4. Comparing Images Visually

      5. Framing an Image with Rulers

      6. Contrast Phenomena/Image Framing

      7. Color Models Concept

      8. RGB Image Manipulation

      9. Translation, Rotation, Scaling/Geometric Transformations I

      10. Checkerboard Effect/Geometric Transformation II

      11. ASCII Data Processing

      12. Labeling

      13. Area Distribution

    3. Point Operations (Dual Operands)

      1. Patterns

      2. Image Combining

      3. Image Overlaying I

      4. Image Overlaying II

      5. Mask Application

      6. Color Image Composing

      7. Dithering

    4. Point Operations (Single Operand)

      1. Color Table

      2. Thresholding

      3. Window-Level Contrast Enhancement

      4. Histogram Stretch Contrast Enhancement

      5. Histogram Equalization

      6. Logarithm Contrast Enhancement

      7. Logarithm Contrast Enhancement/Scaling

      8. Exponential Contrast Enhancement

      9. Pseudo-color Applications

      10. Building Pseudo-color Tables

      11. Display of Image Attributes

      12. Bit Plane Slicing

    5. Digital Fourier Transform

      1. DFT: A Pulse Example

      2. 2D DFT from 1D DFT

      3. DFT: Properties

      4. DFT: Simple Images

      5. DFT: Pulse Width and Zero-Crossings (Bandwidth)

      6. DFT: Sampling and Aliasing

      7. DFT: Filtering in the Frequency Domain

      8. DFT: Filtering of Coherent Noise

    6. Linear Operations

      1. Convolution Principles

      2. Circular Convolution Theorem

      3. DFT: Linear Convolution

      4. Image Sharpening

      5. Correlation

      6. Image Enlargement

      7. Image Reduction

    7. Image Restoration

      1. Inverse Filtering

      2. Pseudo-Inverse Filtering

      3. Wiener Filtering

    8. Wavelets

      1. Wavelet Concepts

      2. Wavelet Transform

      3. Wavelets: Frequency Analysis

    9. Non-Linear Operations

      1. Edge Detection I

      2. Edge Detection II

      3. Median Filtering

      4. Dilation

      5. Contours

    10. Pattern Classification

      1. Feature Extraction

      2. Classification

    11. Software Development in Khoros 2.2

      1. Creating a Toolbox

      2. Using Cantata to Export a Workspace and Create a GUI

      3. Using Cantata to Create an Encapsulated Workspace

      4. Creating a Kroutine

      5. Creating a Kroutine and Library

      6. Creating a XVroutine

      7. Creating a Pane

      8. Creating a Script

      9. Copying an Object

      10. Using the Kcms Library



    Copyright © 1996-1995 KRI, ISTEC, Ramiro Jordán, Roberto Lotufo. All Rights Reserved