The aim of this study was to optimize the rooting of regenerated shoots from nodal segments of three genotypes of fig named: ‘Bargchenari’, ‘Dehdez’ and ‘Runu’. For that purpose, the bottom of shoots (about 5 mm) was dipped in Indole-3-butyric acid (IBA) solution of different concentrations: 500, 1000, 1500, 2000 mg L-1 and control for 5 seconds and then cultured in sand medium. The test was performed in a completely randomized design with at least 5 replications. In ‘Runu’, the highest rooting percentage and the number of roots per shoot (100% and 15.67, respectively) were observed in concentration of 2000 mg L-1 ‎IBA, whereas, ‘Bargchenari’ and ‘Dehdez’ produced the highest rooting percentage and the root number per shoot at concentrations of 1000 and 1500 mg L-1 IBA respectively. Three months after transferring rooted shoots to soil mixtures, ‘Bargchenari’ genotype showed the highest survival rate (80%), shoot length (2.5 cm) and leaf number (4.65 leaves per shoot). In relation to survival percentage, the best medium was perlite, but plantlets showed better growth on perlite + peat medium

Shekafandeh, Akhtar

Shahcheraghi, Seyed Tahereh

Cilj ovog rada je upoznati se s metodama za promjenu razlučivosti slike, kako bi ih mogli primijeniti na konkretnim primjerima i usporediti dobivene rezultate. Metode koje smo obradili su metoda najbližeg susjeda, linearne interpolacije, kubične konvolucijske interpolacije i kubične splajn interpolacije. Metode smo testirali na crno-bijelim slikama, standardnim za ovakvu vrstu primjene. Evaluacija dobivenih rezultata pojedinih metoda obavljena je Peak signal-to-noise radio formulom, na četiri različite slike. Očekivano, metoda kubične splajn interpolacije, u većini slučajeva je ponudila najbolja rješenja, dok je najjednostavnija metoda najbližeg susjeda na jednom od četiri primjera neočekivano pružila najbolji rezultat. Za svaku od metoda priložen je i programski realiziran algoritam, nastao korištenjem programskog jezika Python.The main goal of this thesis is to analize methods for digital image processing, and use acquired knowledge for implementation on real examples which will be evaluated. Nearest neighbour, linear interpolation, cubic convolution interpolation and cubic spline interpolation are the methods analyzed in this thesis. All methods are implemented on grayscale images, standard for this kind of problem. Evaluation of methods is accomplished by Peak signal-to-noise radio formula, on four different images. Predictably, in most cases, cubic spline method provided highest PSNR score. Interestingly, tho most plane method, nearest neighbour, stepped up in one exapmle, and provided the best PSNR score. All algorithms are developed using Python

Grzunov, Lovre

University of Zagreb Repository

Usporedba metoda za promjenu razlučivosti slike

Croatian Digital Thesis Repository

Akhtar Shekafandeh

Seyed Tahereh Shahcheraghi

Hrčak - Portal of scientific journals of Croatia

English