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Šifra:
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34368
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ECTS:
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4
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Lecturers in charge:
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Prof. dr. sc.
Sven Lončarić
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Lecturers:
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Doc. dr. sc.
Marko Subašić - Lectures
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Take exam:
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Studomat
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English level:
1,1,0
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In agreement with the students enrolled in the course, the lecturer will provide as many teaching elements in English as possible, or in both English and Croatian for mixed groups (i.e., bilingual teaching materials and bilingual exams). Level 2 also includes additional individual consultations with foreign students (as in Level 1) for the teaching elements which will be held in Croatian.
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Load:
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| Lecture type | Total |
| Lectures |
30 |
* Load is given in academic hour (1 academic hour = 45 minutes)
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Description:
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The course provides knowledge in theory and applications of digital image processing and analysis. Elements of human visual system. Two-dimensional (2-D) sequences. Linear 2-D system. 2-D convolution. Sampling and quantization. 2-D transforms. Image enhancement in spatial domain. Image histogram operations. Histogram equalization and specification. Homomorfic filtering. Median filter. Image enhanement in the frequency domain. Image restoration. Inverse and pseudoinverse filtering. Wiener filter. Geometric image transformations. Color image representation and processing. Image feature extraction. Principal component analysis. Edge detection. Gradient and compass operators. Object boundary detection. Image segmentation. Hough transform. Clustering methods. Texture segmentation. Applications in biomedicine, industrial visual quality control, and communications.
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Literature:
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- Lectures Notes in Digital Image Processing; S. Lončarić; FER; 2011
- Digital Image Processing; R. C. Gonzalez, R. E. Woods; Prentice Hall; 2007; ISBN: 978-0131687288
- Image Processing, Analysis, and Machine Vision, 3rd Ed.; M. Sonka, V. Hlavac, R. Boyle; Brooks/Cole; 2007; ISBN: 978-0495082521
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2. semester
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Information Processing
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