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COM500: IMAGE ANALYSIS WORKSHOP
Images from a variety of microscope technologies provide a wealth of information about structure, but require processing and measurement to extract the meaningful information. This hands-on workshop deals with all phases of quantitative and computer-assisted imaging from processing through measurement and stereological interpretation.
The course is appropriate for professionals, scientists, technicians and administrators using these techniques for research. Students typically come from materials science, geology, biological and medical sciences, pharmaceuticals, food science, industrial quality control, remote sensing, and other disciplines. As a prerequisite, students should be able to acquire high quality images from their instruments, and have a basic level of familiarity with computers. Software tools based on Photoshop and Fovea Pro are used, running under Windows, along with a variety of images (and attendees are invited to bring their own images on a CD). A combination of demonstrations and hands-on lab exercises cover every aspect of image processing and measurement.
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No sessions currently scheduled for this course.
Are you interested in this course, but it is either not offered or not at a time that works with your schedule? Let us know and we will notify you when it is available next.
Offline registration is available by calling the registrar at 630-887-7100 or by downloading the offline registration form, completing it, and faxing to 630-887-7412.
* If a scheduled course is full, you may be placed in a waiting list.
- The program environment
- Image acquisition, storage and printing devices (cameras, scanners, etc.), file types, printing hardcopy, storage
- Basic image display and manipulation region selection, drawing on and labeling images
- Correction of image defects
- Color images
Color correction
Color filtering and separation
Combining color channels
Principal components analysis
- Noisy images
Random speckle noise, shot noise, scan line noise
Periodic noise removal
- Nonuniform image illumination
Using a separate background, calculating a background for an existing image
Correcting varying contrast across an image
- Expanding image contrast
Linear expansion for grey scale and color images
Non-linear adjustments (gamma, equalization)
- Distorted or foreshortened images
Square pixels, perspective distortion
- Focus problems
Shallow depth of field
Deconvolution of blurred focus
- Tiling large images
- Enhancement of image detail
- Poor local contrast and faint boundaries or detail
Local equalization, sharpening, unsharp mask and difference of Gaussians
Processing color images in HSI or Lab space
Pseudo-color, pseudo-3D, and other display tools
- Feature edge enhancement
- Texture and directionality
- Fourier-space measurement and processing
Isolating periodic structures or signals
Location of specific features
- Detecting image differences
- Thresholding of image features
- Manual and automatic methods
Color ranges
Contour lines
- Manual selection and marking
- Binary image processing
- Morpholological operations to remove extraneous lines, points etc, fill in gaps
- Separating features that touch
- Combining multiple images of the same area to select features
Boolean logic to apply multiple criteria
Using markers and region outlines as selection criteria
- Feature skeletons provide important shape characterization
- Using the Euclidean distance map for feature measurements
- Measurements
- Calibration of dimension and brightness values
- Stereological measurements
- Intensity and Color
- Counting features
- Measuring features: Size , Shape, Intensity , Location
- Data analysis and feature recognition
- Automation and batch processing
Students learn how to judge image quality, learn to correct various imaging problems, select and apply appropriate processing techniques for image enhancement, and perform measurement of meaningful parameters describing overall microstructure as well as individual features.
- Material scientists
- Pharmacuetical scientists
- QA\QC personnel
- Biological and medical scientists
"John Russ is wonderful! Not only does he offer a well organized, thorough and applicable course, he presents it with enthusiasm and humor. An absolute delight".
- Familiarity with image acquisition
- Basic knowledge of computers
The student is notified at the end of the course whether or not they have successfully completed the requirements of the course based on:
- 100% attendance
- class participation
- completion of all course material
- completed and signed student evaluation form
Upon successfully meeting these requirements, a student is awarded a certificate of completion and IACET CEU credits, if available. Those who have not successfully passed the course requirements do not receive a certificate or IACET CEU credits.
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