You will apply to your projects the Fourier Analysis to decompose images into their spatial frequency components, thanks to this 100% online program"

Artificial Intelligence has become the backbone of Industry 4.0, completely revolutionizing manufacturing processes in different companies. In this context, Computer Vision allows machines to understand the visual content of their environment, extracting meaningful information and making optimal decisions based on this data. These procedures are opening the door to a wide range of applications, ranging from medicine to automotive or agriculture. As a result, more and more people are choosing to specialize in this sector to work on projects that have a direct and positive impact on society.

In response to this demand, TECH has designed a Postgraduate Certificate that will lay the foundations in Advanced Image Processing. Designed by experts in the field, the academic itinerary will focus on Computer Vision, with the objective that students digitally process images taking into account aspects such as the relationships between pixels, transformations from histograms and morphological operations. Along the same lines, the syllabus will highlight the importance of optical character recognition for efficient processing of large volumes of text. Likewise, the didactic materials will provide students with the most innovative techniques for the use of dynamic applications, among which  High Dinamic Range and  Photometric Stereo. stand out.  

The Postgraduate certificate format is based on the advanced Relearningteaching methodology, of which TECH is a pioneer. This is based on the natural reiteration of key concepts, promoting that students enjoy a progressive and natural learning. In addition, in the Virtual Campus students will have access to a library full of multimedia resources (including infographics, interactive summaries and case studies) to dynamically reinforce the most complex terms. 

You will fully master the technique of High Dynamic Range, to improve the quality of images in high contrast situations and object detection" 

This Postgraduate certificate in Advanced Digital Image Processing in Computer Vision contains the most complete and up-to-date 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 of the book provide scientific and practical information on those 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

Specialize in Digital Image Processing for Machine Vision and make the leap into a wide range of booming industries such as automotive or manufacturing" 

The program’s teaching staff includes professionals from the industry who contribute their work experience to this 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 students will be assisted by an innovative interactive video system created by renowned and experienced experts.  

Through TECH's revolutionary Relearning system, you will acquire knowledge progressively without the need to memorize"

The program will include the analysis of real case studies, which will take you completely into the reality of the demanding labor market"

This program will equip professionals with state-of-the-art procedures and instruments for Advanced Digital Image Processing in Computer Vision. To this end, the program will delve into key aspects ranging from geometric transformations to logical and arithmetic operations. Students will also examine the different methods of calibrating visual resources to obtain accurate measurements. In addition, the syllabus will address the technique of optical character recognition, as well as the search for patterns and tracking of objects with conventional vision. In this way, graduates will develop projects in a wide range of applications in fields such as security.

You will enrich your daily practice with the most innovative tools for Image Analysis, through this program of only 6 weeks" 

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

2.2. Text Detection

2.2.1. Text Recognition
2.2.2. Code Reading
2.2.3. 1D Codes
2.2.4. 2D Codes
2.2.5. 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 Dinamic 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

The teaching materials of this program, elaborated by these specialists, have contents that are completely applicable to your professional experiences"