Subject: Computer Image Processing (17.F424 )
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Graphic Engineering and Design (Year: 1, Semester: Winter) |
The aim of the course is to upgrade the knowledge gained from the course "Computer image processing basics" with special emphasis on the improvement and analysis of images in the function of quality control in the domain of graphic technologies (in the processes of press preparation, conventional and digital printing, and final graphic processing). Training students for the application of different methods of separating object edges, image segmentation, texture segmentation. Getting to know basic and complex morphological operations over binary images and over high-level images with basic operations and analysis of color images, as well as application software for image processing and analysis.
After the successful completion of the course, students will acquire basic and practical knowledge about techniques for creating digital images using various digitalization equipment (camera, scanner), local and global image quality enhancement operations, and image analysis operations. Students know different methods of separating object edges, image segmentation, texture segmentation. They know they use basic and complex morphological operations over a binary image, but also over a picture with multiple levels of gray. They know basic operations and analyzes of color images. Acquired knowledge is used as a basis in further education and in future professional work.
Overview of basic concepts of computer image processing. Images and digital image format formats. Techniques for forming a digital image using cameras, scanners and other optical systems with sensor elements. Image quality enhancement operations. Local operations over the image (contrast transformation operations, histogram operations). Spatial operations, operations in the transformation domain (low and high frequency image filtering) and nonlinear filtering operations. Overview of basic concepts of image analysis. Separating edges of objects with different techniques. Segmentation of the image. Segmentation by threshold, clustering, region and border of the region. Segmentation of the texture. Operations over a binary image. Elementary binary operations (additive, subtractive operations). Basic and complex morphological operations (dilation, erosion, closure, opening). Morphological operations over a picture with multiple levels of gray. Processing and analysis operations over color images. Operations over a color image in a spatial domain. Application software for image processing and analysis. Application of computer processing and image analysis in the control processes of press preparation, conventional and digital printing, surface finishing and final graphic processing.
Teaching is held using contemporary didactic means and methods, interactively in the form of lectures, computer and laboratory practice. Theory is presented in lectures, followed by the examples and solution simulation for better understanding of the course content. Computer practice are organized in a manner as to supplement the graphic technology skills, and laboratory practice are used to practically apply the acquired knowledge using the available laboratory equipment. In addition to lectures and practice, consultations are regularly held.
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 1984 | English | |||
| 2008 | English | |||
| 1987 | English | |||
| 2008 | English |
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Computer excersise defence | Yes | Yes | 20.00 |
| Lecture attendance | Yes | Yes | 5.00 |
| Written part of the exam - tasks and theory | No | Yes | 40.00 |
| Computer exercise attendance | Yes | Yes | 5.00 |
| Oral part of the exam | No | Yes | 30.00 |
Assoc. Prof. Pal Magdolna
Associate Professor
Lectures
vanr. prof. dr Vladušić Jelena
Vanredni profesor iz polja umetnosti
Lectures
Assoc. Prof. Pal Magdolna
Associate Professor
Computational classes
Faculty of Technical Sciences
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© 2024. Faculty of Technical Sciences.