Image
Processing Extension Pack
Examples
The Image Processing Extension Pack
provides a powerful solution for iterative exploration and investigative
analysis. With its extensive image processing, analysis and visualisation
capabilities, this Extension Pack is ideal for research scientists and
engineers, design engineers, system analysts and image specialists working
on imaging or multimedia product development. It is also a valuable tool
for students studying electrical engineering or computer sciences.
This robust Extension Pack provides
a total of over 140 built-in image processing functions. Among the highlights
of this new version are over 50 new functions. Plus, you get an interactive
image viewer for easy manipulation, new file formats to make it easier
to work with other applications, and expanded document with templates
and application examples. And because the Extension Pack becomes part
of your Mathcad desktop, you can use it to create publication-quality
technical documents, graphs and presentations.
Highlights of the Mathcad Image
Processing Extension Pack
- Filtering - denoising of images
- Morphology - to achieve sharper image characterizations for object
identification
- Edge Detection - image enhancement for object identification
- Segmentation - for analysing specific regions/clusters of interest
- Feature Extraction - to quantify object features such as length, size,
other dimensions
- New image viewer with interactive image manipulation capabilities
(zoom/pan/crop,
- brightness/contrast, rotate/flip/transpose, etc)
- New file formats ( BMP, GIF, JPG, PCX, TARGA, PGM, TIFF)
- Expanded Electronic Book documentation and application files
The Image Processing Extension Pack delivers over 140 built-in functions,
including capabilities in all these areas:
| Input/Output |
BMP, GIF, JPG, PCX, TARGA, PGM, TIFF |
| Colour Formats |
RGB, HLS, HSV |
| Image Data Types |
double, colour |
| Point Operations |
Blending, boolean, threshold, invert, scale, level
mapping, add noise, all default mathcad ops, histograms, histogram
equalize, LUT, colourmap ops, binarize, automatic threshold, clip,
scale. |
| Geometric Transforms |
Flip, rotate 90, general rotate, translate (pan), zoom,
bilinear warping, interactive region extraction (using the viewer) |
| Filtering Enhancement |
Median, quantile (order statistic) convolve, correlated,
smoothing, crisping, frequency filters, Wiener filter |
| Transforms |
Fft, wavelet, cosine transform (dct) |
| Morphology |
Erosion, dilation, opening, closing, thinning, skeleton,
distance transform, grayscale morphology, convex hull |
| Edge Detection |
All common ones, sobel, roberts etc., Canny, morphology,
row/column gradients |
| Segmentation |
Thresholding, automatic thresholding, region growing |
| Feature Extraction |
Connected components, convex hull, distance transform,
moment invariants, general features - centroids, moments, etc. |
| Multidimensional Support |
Fft |
| Video processing support |
None |
| Wavelet Tools |
A wavelet toolbox |
| Signal Pro Tools |
A signal processing toolbox |
| Display/Visualization |
In-place viewer displays images, maps pseudo colour,
zoom, scale, flip, brightness, contrast |
| Display Interactivity |
ROI selection, point selection, line selection |
| Customizable (Macros) |
Mathcad functions |
| Customizable (GUI) |
None |
| Extensibility (C/Fortran) |
Ability to add C code |
| Platforms |
Windows |
| Standards Support (OLE or CORBA) |
OLE support |
| Internet |
Ability to publish pages on the web |
Image Processing Extension Pack Electronic Guidance: Chapter List
Introductory Material
- About Mathcad Electronic Books
- Introduction to Image Processing in Mathcad
- Reading and Writing Images
- The Mathcad Image Viewer
Image Processing Functions
- Image Manipulation
- Addition and Measurement of Noise
- Binarization and Quantization
- Equalization
- Function and Level Mapping
- Histograms
- Scaling and Clipping
- Thresholding and Inversion
Manipulating Colour in Images
- Grayscale and Colour in Images
- HLS and HSV Colour Systems
- Television Image Colour Standards
- Tools for Packed Matrices
Combinations of Images
- Replacing Part of an Image
- Blending and Masking
- Boolean Operations
- Error and Noise Measurement
Geometric Transforms
- Flipping Images
- Rotating Images
- Translating Images
- Bilinear Warping
- Zooming and Scaling
- Convolution and Filtering
- Convolution
- Crisping
- 2-D Image Correlation
- Median and Quantile Filtering
- Smoothing
- Wiener Filtering
Morphological Processing
- Erosion and Dilation
- Morphological Opening and Closing
- Grayscale Morphology
- Thinning and Skeletonization
The Transform Domain
- Filtering in Fourier Transform Domain
- Centering a Transformed Image
- Gaussian Kernel Filtering
- Wavelet Transform Filtering
- Discrete Cosine Transform
Edge Finders
- Canny Edge Detector
- Convolution Edge Finders
- Convolution and Comparison Edge Finders
- Laplacian Edge Finders
- Row and Column Gradients
Feature Extraction
- Connected Component Labeling
- Vonvex Hull
- Euclidean Distance Transform
- Moment Invariants
- Shape Features
Image Segmentation
Examples
- Image Filtering and Restoration
- Filtering Noise
- Wavelet Smoothing
- Homomorphic Filtering
- Removing Scanner Stripes
- Deblurring via Transforms
Image Enhancement
- Correcting a CCD Image
- Mapping Image Intensities
- Machine Quality Control of Corn
- Downsampling: A Primer
- Pseudocolour Enhancement
- Fading In and Out
Vision and Segmentation
- A Simple Letter Detector
- Tracking Moving Objects in Aerial Images
- Machine Vision: Locating Holes
- Machine Grading of Potatoes
- Segmentation of the Brain
Visualization and Synthetic Images
- Imaging a Speech Spectrogram
- A Demonstration of Ray Tracing
- Ray Tracing and Mapping
- Visualizing Complex Functions
Image Distortions
- Bitmapped Type
- Instant "Art"
Resources Useful Mathcad Constructs
- Bibliography
- Index of Sample Images
- Index of Functions
- Superseded Functions
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