Benefits |
Mastery of Python skills: Students gain a solid knowledge of programming in Python, a programming language widely used in the field of image processing and computer vision, allowing them to develop effective and efficient solutions.
Practical application in real projects: Through real-world examples and practical projects, participants have the opportunity to apply the knowledge acquired in concrete situations, which facilitates the understanding and consolidation of the concepts learned.
Ability to work in diverse areas: By mastering digital image processing and computer vision techniques, students are prepared to work in a wide range of fields, including industry, medicine, research, robotics, artificial intelligence and more.
Future-Ready: With the continued growth in the importance of computer vision across a variety of industries, participants will be equipped with relevant and in-demand skills in today’s and tomorrow’s job market.
Flexibility and Accessibility: The course offers lifetime access, allowing students to learn at their own pace and revisit the material at any time. Additionally, being accessible from mobile devices and televisions, participants can study whenever and wherever is convenient for them.
Certification of Completion: Upon completion of the course, students receive a certificate of completion, allowing them to validate and demonstrate their image processing skills with Python to potential employers or academic institutions.
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Introduction |
Relevance in the Digital Age: Today, digital image processing and machine vision have become fundamental areas of technology, with applications in a wide variety of fields, from industry to medicine and entertainment.
Course Genesis: This course is a response to the growing demand for professionals trained in digital image processing using Python, a popular and versatile programming language. Combining Python with image processing techniques opens up a world of possibilities for problem solving in various disciplines.
Importance of the topic: Digital image processing and computer vision are at the heart of major technological advances such as facial recognition, autonomous driving, computer-assisted medicine and augmented reality. Mastering these skills is essential for those who want to be at the forefront of the world of technology.
Topic statistics: Exponential growth in demand for professionals with skills in digital image processing and computer vision.
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Addressed to |
This course is designed for professionals from various sectors and job profiles. Although it will focus primarily on the industrial field for practical examples, it is accessible to anyone interested in the subject. Prior technical knowledge is valued, but is not an essential requirement, as a detailed explanation of the concepts will be provided from the beginning of the course. People interested in these topics. |
Objectives |
The objectives of the course are:
- Master Python Fundamentals: Provide students with a solid foundation in Python programming, from basic concepts like variables and loops to more advanced functions.
- Understand the principles of digital image processing: Familiarize participants with the fundamental concepts of digital image processing, including image acquisition, pixel manipulation, geometric transformations, and filtering operations.
- Apply advanced image processing techniques: Teach students to implement advanced image processing algorithms such as low and high frequency filters, morphological operations, and edge detection.
- Develop computer vision skills: Train participants in the use of computer vision techniques for practical applications such as shape recognition, image analysis, and object detection.
- Create hands-on projects: Guide students through real-world, hands-on projects, such as video surveillance systems with people detection, part analysis, and perspective shifting in images, to apply their knowledge to real-world situations.
- To prepare participants to apply their skills in professional, academic or research environments, providing them with the necessary tools to address complex problems in the field of digital image processing and computer vision.
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Contents |
Introduction to Python:
Python programming basics.
Variables, constants and data types.
Control structures and cycles.
Image manipulation in Python:
Reading and writing images.
Image acquisition using webcams.
Manipulation of pixels and color fields.
Geometric transformations:
Operations for changing perspective in images.
Rotation, scaling and translation of images.
Image processing:
Histogram equalization.
Application of low and high frequency filters.
Morphological operations for shape processing.
Shape analysis:
Contour detection.
Template comparison.
Introduction to PyQT:
Fundamentals of creating graphical interfaces with PyQT.
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Type |
Course |
Mode of delivery |
Digital games |
Methodology |
The course is divided into two main parts:
Theoretical Part (40%):
The theory is taught using visual resources such as a blackboard and projector.
Fundamental project concepts are explored, including definitions, objectives, tools and techniques, as well as best practices.
Practical Part (60%):
Guided practices are carried out, which represent half of the course time.
Participants apply the knowledge acquired in real-world scenarios, with a focus on problem solving and the use of algorithms.
This balanced methodology provides an effective combination of theoretical and practical learning, allowing participants to acquire applicable skills and solid knowledge for their professional development.
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Dates |
From 25 / 3 / 2025 to 10 / 4 / 2025 |
Calendar |
Tuesday Thursday |
TIMETABLE |
From 15:00am to 20:00am |
Duration |
8 hours |
Place |
AIDIMME C / Benjamin Franklin 13 (Technology Park) 46980 Paterna (Valencia) |
Registration |
Open |
Certification |
Certificate of attendance issued by AIDIMME. Minimum attendance of 75% of the teaching hours. |
Cost |
450 € - Non-associated company amount + 21% VAT. Associated company - 13%. Unemployed persons: consult price. *AIDIMME, as the organising entity of FUNDAE, will be able to manage the subsidised part of the course at no additional cost.
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Professors |
| CRESPO TAPIA,JAVIER |
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| Javier has more than 10 years of experience working with data, having led a wide variety of projects in companies of all sizes. He has collaborated with important clients at national and international level, standing out for his ability to lead key initiatives in data management and analysis. |
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INFORMATION AND PRE-REGISTRATIONS
AIDIMME - Training Department
961366070 Phone | Fax: 961366185 e-mail: rigual@aidimme.es | www.aidimme.es |
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Since the NUMBER OF PLACES is LIMITEDIf you are interested in participating in these courses, you must notify us, as soon as possible, by sending the duly completed pre-registration form (one for each attendee), before the indicated date, in order to close participation in it. Admission will be made in order of pre-registration and the company will be notified of its acceptance. |
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