Become an expert in digital image processing applied to computer vision thanks to this Postgraduate certificate"

Computer vision is composed of several areas and specialties that combine to make it work. One of these areas is digital image processing, which is a fundamental element, since without this processing AI would not be able to unravel the optical information captured. For this reason, performing this task properly is indispensable for the success of any kind of computer vision project. 

This Postgraduate certificate in Advanced Digital Image Processing in Computer Vision has been commissioned, therefore, to bring together the most profound and innovative knowledge in this field, so that computer scientists can delve into aspects such as morphological operations, contour detection, image calibration or video processing, among many others. 

And all this will be achieved using a 100% online teaching methodology that adapts to the circumstances of each student, allowing them to choose the time and place to study. In addition, this program provides access to a highly qualified teaching staff, experts in this field, and to multimedia contents of great educational value. 

Big computer vision companies need digital image processing specialists: you could be one of them"   

This Postgraduate certificate in Advanced Digital Image Processing in Computer Vision contains the most complete and up-to-date educational program on the market. The most important features include:

• The development of case studies presented by experts in computer science and computer vision
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Learn the best image processing techniques thanks to this program, which will provide you with the latest knowledge so that you can apply it to your work immediately"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.  

Machine learning and AI are fundamental in today's technological world. Specialize in digital image processing for computer vision and achieve professional success"

In the technological field, specialization is the key: complete this Postgraduate certificate and get access to an artificial intelligence company quickly"

This Postgraduate certificate in Advanced Digital Image Processing in Computer Vision is composed of 2 specialized modules, which will detail the latest techniques in this complex work in the field of computer vision. In this way, the educational program will delve into issues such as visualization tools, the relationship between pixels, linear and nonlinear filtering, 1D and 2D codes and facial recognition. 

Get to know all the particularities of digital image processing applied to artificial intelligence and become a highly sought after professional"  

Module 1. Digital Image Processing

1.1. Computer Vision Development Environment

1.1.1. Computer Vision Libraries
1.1.2. Programming Environment
1.1.3. Visualization Tools

1.2. Digital image Processing

1.2.1. Relationships Between Pixels
1.2.2. Image Operations
1.2.3. Geometric Transformations

1.3. Pixel Operations

1.3.1. Histogram
1.3.2. Histogram Transformations
1.3.3. Operations on Color Images

1.4. Logical and Arithmetic Operations

1.4.1. Addition and Subtraction
1.4.2. Product and Division
1.4.3. And/Nand
1.4.4. Or/Nor
1.4.5. Xor/Xnor

1.5. Filters

1.5.1. Masks and Convolution
1.5.2. Linear Filtering
1.5.3. Non-Linear Filtering
1.5.4. Fourier Analysis

1.6. Morphological Operations

1.6.1. Erosion and Dilation
1.6.2. Closing and Opening
1.6.3. Top_hat and Black hat
1.6.4. Contour Detection
1.6.5. Skeleton
1.6.6. Hole Filling
1.6.7. Convex Hull

1.7. Image Analysis Tools

1.7.1. Edge Detection
1.7.2. Detection of Blobs
1.7.3. Dimensional Control
1.7.4. Color Inspection

1.8. Object Segmentation

1.8.1. Image Segmentation
1.8.2. Classical Segmentation Techniques
1.8.3. Real Applications

1.9. Image Calibration

1.9.1. Image Calibration
1.9.2. Methods of Calibration
1.9.3. Calibration Process in a 2D Camera/Robot System

1.10. Image Processing in a Real Environment

1.10.1. Problem Analysis
1.10.2. Image Processing
1.10.3. Feature Extraction
1.10.4. Final Results

Module 2. Advanced Digital Image Processing

2.1. Optical Character Recognition (OCR)

2.1.1. Image Pre-Processing
2.1.2. Text Detection
2.1.3. Text Recognition

2.2. Code Reading

2.2.1. 1D Codes
2.2.2. 2D Codes
2.2.3. Applications

2.3. Pattern Search

2.3.1. Pattern Search
2.3.2. Patterns Based on Gray Level
2.3.3. Patterns Based on Contours
2.3.4. Patterns Based on Geometric Shapes
2.3.5. Other Techniques

2.4. Object Tracking with Conventional Vision

2.4.1. Background Extraction
2.4.2. Meanshift
2.4.3. Camshift
2.4.4. Optical Flow

2.5. Facial Recognition

2.5.1. Facial Landmark Detection
2.5.2. Applications
2.5.3. Facial Recognition
2.5.4. Emotion Recognition

2.6. Panoramic and Alignment

2.6.1. Stitching
2.6.2. Image Composition
2.6.3. Photomontage

2.7. High Dynamic Range (HDR) and Photometric Stereo

2.7.1. Increasing the Dynamic Range
2.7.2. Image Compositing for Contour Enhancement
2.7.3. Techniques for the Use of Dynamic Applications

2.8. Image Compression

2.8.1. Image Compression
2.8.2. Types of Compressors
2.8.3. Image Compression Techniques

2.9. Video Processing

2.9.1. Image Sequences
2.9.2. Video Formats and Codecs
2.9.3. Reading a Video
2.9.4. Frame Processing

2.10. Real Application of Image Processing

2.10.1. Problem Analysis
2.10.2. Image Processing
2.10.3. Feature Extraction
2.10.4. Final Results

A unique, key and decisive training experience to boost your professional development”