Thesis Details
Využití přibližného počítání v oblasti zpracování obrazu
This master thesis focuses on approximate computing applied to image processing. Specifically, the approximation is applied to adaptive thresholding. Two approaches were used, the design of a new system using approximated components and the approximation of an existing algorithm. The resulting effect on thresholding quality was investigated. Experimental evaluation of the first approach shows quality improvements of thresholding with usage of aproximated components. Also, area of found aproximated solutions is smaller. Evaluation of the second approach shows worse quality of thresholding with usage of aproximated components. The second approach is then declared inappropriate.
Approximate computing, adaptive thresholding, CGP, NSGA-II, algorithm approximation, multiobjective optimalization, genetic programming
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
@mastersthesis{FITMT22977, author = "Petr Hruda", type = "Master's thesis", title = "Vyu\v{z}it\'{i} p\v{r}ibli\v{z}n\'{e}ho po\v{c}\'{i}t\'{a}n\'{i} v oblasti zpracov\'{a}n\'{i} obrazu", school = "Brno University of Technology, Faculty of Information Technology", year = 2020, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22977/" }