Law, Military Science and Security Sovereignty of the State

Image Analysis Techniques for Professionals Training

SAQA US 244539 | NQF 5 | Credits 8 | Duration 5 Days
From $1,242 per delegate

Description

This course equips professionals with the skills to apply image analysis techniques for extracting meaningful information from digital images. Participants will learn to enhance, segment, and interpret images using industry-standard tools and methodologies, enabling data-driven decision-making in fields such as remote sensing, medical imaging, and quality control.

Learning Outcomes

  • Apply image enhancement techniques to improve visual quality and feature extraction.
  • Analyze image data using segmentation, filtering, and transformation methods.
  • Evaluate different image analysis algorithms for specific application contexts.
  • Implement image classification and pattern recognition workflows.
  • Demonstrate proficiency in using image analysis software tools for practical tasks.
  • Interpret and communicate results derived from image analysis effectively.

Target Audience

This course is designed for professionals in fields such as geospatial analysis, biomedical imaging, manufacturing quality assurance, and research who need to apply image analysis techniques in their work.

Prerequisites

None — open enrollment

Course Outline

Day 1: Fundamentals of Image Analysis

Objectives:
• Understand the basic concepts of digital images and image analysis.
• Identify different image types and their characteristics.
• Explain the role of image analysis in professional contexts.
• Recognise common image analysis tools and software.
• Apply basic image enhancement techniques.

Topics:
• Introduction to digital images: pixels, resolution, colour spaces.
• Image acquisition methods: cameras, scanners, sensors.
• Image file formats and compression.
• Overview of image analysis workflow.
• Basic image enhancement: brightness, contrast, histogram equalisation.
• Introduction to image analysis software (e.g., ImageJ, Fiji).
• Ethical considerations in image manipulation.
• Practical exercise: loading and viewing images.

Day 2: Image Preprocessing and Segmentation

Objectives:
• Apply image filtering techniques to reduce noise.
• Perform image segmentation to isolate regions of interest.
• Understand thresholding and its applications.
• Use morphological operations for image refinement.
• Evaluate segmentation results.

Topics:
• Image filtering: Gaussian, median, and bilateral filters.
• Edge detection: Sobel, Canny, and Laplacian operators.
• Thresholding techniques: global, adaptive, Otsu.
• Region-based segmentation: watershed, region growing.
• Morphological operations: erosion, dilation, opening, closing.
• Hands-on: segmenting cells in microscopy images.
• Quality metrics for segmentation.

Day 3: Feature Extraction and Measurement

Objectives:
• Extract quantitative features from segmented objects.
• Calculate geometric and intensity-based measurements.
• Use texture analysis to characterise regions.
• Implement feature selection for classification.
• Analyse feature data statistically.

Topics:
• Geometric features: area, perimeter, circularity, Feret diameter.
• Intensity features: mean, standard deviation, integrated density.
• Texture analysis: GLCM, Haralick features.
• Shape descriptors: moments, Fourier descriptors.
• Feature selection: correlation, PCA.
• Statistical analysis: t-tests, ANOVA.
• Practical: measuring particle sizes in an industrial sample.

Day 4: Advanced Image Analysis Techniques

Objectives:
• Apply machine learning for image classification.
• Implement object detection and recognition algorithms.
• Use deep learning approaches for image analysis.
• Understand convolutional neural networks (CNNs).
• Evaluate model performance using appropriate metrics.

Topics:
• Introduction to machine learning in image analysis.
• Supervised classification: k-NN, SVM, random forests.
• Object detection: sliding windows, HOG, YOLO.
• Deep learning basics: CNNs, transfer learning.
• Training a simple CNN for image classification.
• Performance metrics: accuracy, precision, recall, F1-score.
• Overfitting and data augmentation.
• Practical: classifying tissue types in histopathology images.

Day 5: Practical Integration and Case Studies

Objectives:
• Integrate multiple image analysis techniques into a workflow.
• Apply learned skills to real-world case studies.
• Troubleshoot common image analysis problems.
• Present and interpret analysis results.
• Discuss best practices and future trends.

Topics:
• Building an image analysis pipeline.
• Case study 1: Quality control in manufacturing.
• Case study 2: Medical image analysis (e.g., MRI, X-ray).
• Case study 3: Remote sensing and satellite imagery.
• Automation and batch processing.
• Reporting and visualisation of results.
• Emerging trends: AI in image analysis, cloud-based tools.
• Final project: complete analysis of a provided dataset.

Practicals

15 hours of practicals To be conducted online or on-campus or in-house
Overview

Practical sessions are integral to this course, allowing learners to apply image analysis techniques using software tools on real datasets. These hands-on exercises reinforce theoretical concepts and develop proficiency in image preprocessing, segmentation, feature extraction, and machine learning.

Practical Activities
  • Image Enhancement and Filtering — Learners apply contrast adjustment, histogram equalisation, and noise reduction filters to sample images using ImageJ. (3h)
  • Segmentation and Morphological Operations — Learners perform thresholding and morphological operations to segment objects in biological and industrial images. (4h)
  • Feature Extraction and Measurement — Learners extract geometric and intensity features from segmented objects and perform statistical analysis. (4h)
  • Machine Learning Classification — Learners train a classifier (e.g., random forest) to categorise image regions based on extracted features. (4h)

Summatives

Each delegate is assessed continuously throughout the course via daily exercises, scored practical assignments, and a final summative test at the end.

Practical Assignments — 30%

Practical assignments are observed and scored against a rubric during the practical sessions. Each delegate's practical mark is averaged into a single 100% score and contributes 30% to the final total.

Daily Exercises — 20%

Every training day ends with a multiple-choice exercise scored out of 100%. The scores from each daily exercise are averaged across the duration of the course to produce a Daily Average mark, which contributes 20% to the final total.

Final Test — 50%

On the last day a final summative test is written. It is a multiple-choice paper with multiple-answer questions: each question may have more than one correct option, and a single wrong selection on a question marks the entire question wrong — no partial credit. The final test is scored out of 100% and contributes 50% to the overall mark.

Final Total
Component Out of Weight
Practical Assignments (rubric-scored) 100% 30%
Daily Average (multiple choice) 100% 20%
Final Test (multi-answer multiple choice) 100% 50%
Final Total 100%

All marks are recorded on the AATICD LMS and visible to each learner under their account.

Certificate

Certificate of Completion

Awarded to delegates who achieve an overall mark of 50% or higher on the Final Total (Practicals 30% + Daily Average 20% + Final Test 50%).

How it works
  • Certificates are auto-generated on the AATICD LMS as soon as the marks pass the 50% threshold.
  • Each certificate is a branded PDF with the delegate's name, the course title, the unit standard ID, NQF level, credits, and the date of issue.
  • You can download or print your certificate from your LMS dashboard at any time after issue — there's no reissue fee and no expiry date.
  • If you scored under 50% you can sit the final test again at the next scheduled session at no extra cost.
Where to find it

Sign in to the LMS, open your dashboard, and your certificates appear under My Certificates. Each entry has a View / Download button and a print option.

Training Discounts

Group discounts apply automatically — the more delegates you enrol, the greater the saving. Discounts are calculated at 3% per 5 delegates, scaling up to 40% off for 100+ delegates.

Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% discount per 5 delegates, up to 40% off for 100+ delegates. Contact us for a custom group quote.

Upcoming Training Sessions
Online training — attend live sessions from anywhere via our virtual classroom.
Start End Delivery Season Price Action
Mon 07 Sep 2026 Fri 11 Sep 2026 Virtual Spring 2026 $1,242 Register
Mon 28 Sep 2026 Fri 02 Oct 2026 Virtual Spring 2026 $1,242 Register
Mon 19 Oct 2026 Fri 23 Oct 2026 Virtual Spring 2026 $1,242 Register
Mon 07 Dec 2026 Fri 11 Dec 2026 Virtual Summer 2026 $1,242 Register
Mon 11 Jan 2027 Fri 15 Jan 2027 Virtual Summer 2026 $1,242 Register
Mon 15 Feb 2027 Fri 19 Feb 2027 Virtual Summer 2026 $1,242 Register
Mon 01 Mar 2027 Fri 05 Mar 2027 Virtual Autumn 2027 $1,242 Register
Mon 08 Mar 2027 Fri 12 Mar 2027 Virtual Autumn 2027 $1,242 Register
Mon 15 Mar 2027 Fri 19 Mar 2027 Virtual Autumn 2027 $1,242 Register
Mon 07 Jun 2027 Fri 11 Jun 2027 Virtual Winter 2027 $1,242 Register
Mon 28 Jun 2027 Fri 02 Jul 2027 Virtual Winter 2027 $1,242 Register
Mon 19 Jul 2027 Fri 23 Jul 2027 Virtual Winter 2027 $1,242 Register
Mon 06 Sep 2027 Fri 10 Sep 2027 Virtual Spring 2027 $1,242 Register
Mon 27 Sep 2027 Fri 01 Oct 2027 Virtual Spring 2027 $1,242 Register
Mon 18 Oct 2027 Fri 22 Oct 2027 Virtual Spring 2027 $1,242 Register
Mon 06 Dec 2027 Fri 10 Dec 2027 Virtual Summer 2027 $1,242 Register
Mon 27 Dec 2027 Fri 31 Dec 2027 Virtual Summer 2027 $1,242 Register
Mon 17 Jan 2028 Fri 21 Jan 2028 Virtual Summer 2027 $1,242 Register
On-Campus training — face-to-face sessions at our training venues across Africa and beyond.
Showing all 492 sessions across 26 venues
Start End Venue Season Price Action
Mon 10 Aug 2026 Fri 14 Aug 2026 Durban, South Africa Winter 2026 $2,916 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Abu Dhabi, UAE Winter 2026 $5,238 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Pretoria, South Africa Winter 2026 $1,863 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Dubai, UAE Winter 2026 $5,238 Register
Mon 10 Aug 2026 Fri 14 Aug 2026 Cape Town, South Africa Winter 2026 $3,078 Register
In-House training — we bring the trainer to your organisation, tailored to your team.
Start End Delivery Season Price Action
Mon 14 Sep 2026 Fri 18 Sep 2026 Your Premises Spring 2026 $1,615 Register
Mon 05 Oct 2026 Fri 09 Oct 2026 Your Premises Spring 2026 $1,615 Register
Mon 26 Oct 2026 Fri 30 Oct 2026 Your Premises Spring 2026 $1,615 Register
Mon 14 Dec 2026 Fri 18 Dec 2026 Your Premises Summer 2026 $1,615 Register
Mon 18 Jan 2027 Fri 22 Jan 2027 Your Premises Summer 2026 $1,615 Register
Mon 22 Feb 2027 Fri 26 Feb 2027 Your Premises Summer 2026 $1,615 Register
Mon 08 Mar 2027 Fri 12 Mar 2027 Your Premises Autumn 2027 $1,615 Register
Mon 15 Mar 2027 Fri 19 Mar 2027 Your Premises Autumn 2027 $1,615 Register
Mon 22 Mar 2027 Fri 26 Mar 2027 Your Premises Autumn 2027 $1,615 Register
Mon 14 Jun 2027 Fri 18 Jun 2027 Your Premises Winter 2027 $1,615 Register
Mon 05 Jul 2027 Fri 09 Jul 2027 Your Premises Winter 2027 $1,615 Register
Mon 26 Jul 2027 Fri 30 Jul 2027 Your Premises Winter 2027 $1,615 Register
Mon 13 Sep 2027 Fri 17 Sep 2027 Your Premises Spring 2027 $1,615 Register
Mon 04 Oct 2027 Fri 08 Oct 2027 Your Premises Spring 2027 $1,615 Register
Mon 25 Oct 2027 Fri 29 Oct 2027 Your Premises Spring 2027 $1,615 Register
Mon 13 Dec 2027 Fri 17 Dec 2027 Your Premises Summer 2027 $1,615 Register
Mon 03 Jan 2028 Fri 07 Jan 2028 Your Premises Summer 2027 $1,615 Register
Mon 24 Jan 2028 Fri 28 Jan 2028 Your Premises Summer 2027 $1,615 Register
Training Discounts
Delegates Discount
5 3% off
10 6% off
15 9% off
20 12% off
25 15% off
30 18% off
50 30% off
75 35% off
100 40% off

3% off per 5 delegates, up to 40% for 100+

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