3 - Image Processing

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IMAGE PROCESSING
(SYLLABUS)
University of Petrosani
Faculty: The Faculty of Mechanical and Electrical Engineering
Program Level: Undergraduate
Specialization(s): Computer Science; Control Engineering and Applied Informatics
Year of study: 3rd
Semester: II (spring semester)
Number of ETCS credits awarded: 4
Class Objectives:
 Introduction to development the theoretical and practical tools in digital image processing
domain .
 Assimilating knowledge about the types of structure of Digital Image Acquisition Systems.
 Assimilating knowledge about the principles, methods and algorithms for image processing
 Assimilating knowledge about the recognition of shapes and assembly techniques and
methods of acquisition, storage, display, modification and operation of visual information
contained in images.
Lectures content:
Content
Introduction to processing and image analysis. Digital
image. Processing systems and image analysis.
Techniques to improve the images. Methods to modify the
contrast.
Pseudo coloring.
Image histogram.
Image filtering methods. Nonlinear image filtering.
Linear smoothing filter
Contrasting and adaptive filtering.
Integral transformations of discrete unit. Converted to onedimensional unit.
The Fourier transform .
Other processed.
Compression of images. Binary image compression.
Compression of images with gray level.
Processed images compression.
Number of lectures
2
2
2
2
2
2
2
2
2
2
2
2
2
Practical class content:
Content
Safety procedures. Work procedures. Presentation of
laboratory.
Reading and improving images.
Linear image filtering
Nonlinear image filtering
Transforming images
Image compression
Segmentation of images.
Segmentation on the histogram
Segmentation on the histogram.
The growth and providing of regions.
Number of classes
2
2
2
2
2
2
2
2
2
2
Labeling of binary images
Techniques of edge detection
Characterization of edge regions
Final evaluation and testing for practical classes.
2
2
2
2
Grading Policy:
The student pass the class if obtain more than 50 points from 100 points.
Classroom Rules of Conduct:
 Turn off (or place on vibrate) cell phones and pagers during class
 Food and beverages are not permitted in classroom
 During exams, the use of cell phones, pagers, PDAs, or any other electronic devices is strictly
prohibited
Lecturer: Assoc. Prof. Ph.D. Eng. Egri Angela
e-mail:
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