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Digital Image Processing and Analysis
Abbreviation: Load: 30(L) + 0(E) + 0(LE) + 0(CE)
Lecturers in charge: Prof. dr. sc. Sven Lončarić
Lecturers:
Course description: 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.
Lecture languages: - - -
Compulsory literature:
1. Lectures Notes in Digital Image Processing S. Lončarić Author 2005
Recommended literature:
2. Digital Image Processing R. C. Gonzalez, R. E. Woods Prentice Hall 2002
3. Image Processing, Analysis, and Machine Vision M. Sonka, V. Hlavac, R. Boyle Brooks/Cole 1999
4. Fundamentals of Digital Image Processing A. K. Jain Prentice Hall 1989
Legend
L - Lectures
E - Exercises
LE - Laboratory exercises
CE - Project laboratory
* - Not graded
Copyright (c) 2006. Ministarstva znanosti, obrazovanja i športa. Sva prava zadržana.
Programska podrška (c) 2006. Fakultet elektrotehnike i računarstva.
Oblikovanje(c) 2006. Listopad Web Studio.
Posljednja izmjena 2011-07-03