The article reports on the investigation of augmented reality system which is designed for identification and augmentation of 100 different square markers. Marker recognition efficiency was investigated by rotating markers along x and y axis directions in range from −90° to 90°. Virtual simulations of four environments were developed: a) an intense source of light, b) an intense source of light falling from the left side, c) the non-intensive light source falling from the left side, d) equally falling shadows. The graphics were created using the OpenGL graphics computer hardware interface; image processing was programmed in C++ language using OpenCV, while augmented reality was developed in Java programming language using NyARToolKit. The obtained results demonstrate that augmented reality marker recognition algorithm is accurate and reliable in the case of changing lighting conditions and rotational angles -only 4 % markers were unidentified. Assessment of marker recognition efficiency let to propose marker classification strategy in order to use it for grouping various markers into distinct markers' groups possessing similar recognition properties.

VaizdLi technologijos T111 Image Technologies T111 Elektronika ir elektrotechnika Electronics and Electrical Engineering PAPILDYTOS REALYBÉS ALGORITMO EFEKTYVUMO TYRIMAS Dovilé Kurpyté Vilniaus Gedimino technikos universitetas El. pastas dovile.kurpyte@vgtu.lt Santrauka. Straipsnyje nagrinéjamas papildytos realybés (PR) algoritmo efektyvumas keiciant posûkio kampus ir apsvietim^.Tiksliniai keiöiami tiriamieji paramétrai yra sie: trijn laisvès laipsniii atzvilgiu nagrinéjama posûkio kampo itaka ir soninis apävietimas, sudarantis seséli. Statiniai tiriamieji paramétrai su galimybé juos pakeisti yra §ie: atstumas tarp zymeklio ir kameros, kamera, procesorius, atstumas iki sviesos äaltinio. Iätyrus atvirojo kodo Java programavimo kalba jgyvendint^ algoritmo su deäimöia skirtings zymekliii, pateikiamos rekomendacijos.ReikSminiai zodziai: papildyta realybè, Java, algoritmas, NyARToolKit, tyrimas, atvirasis kodas, posûkio kampas, äeäelis. AbstractThe article presents the investigation of the efficiency of augmented reality algorithm that depends on the rotation angles and lighting conditions. The following were the target subject parameters: three degrees of freedom perspective of the rotation and side lighting that forms a shadow. Static parameters of subjects with the ability to change them were as follow: the distance between the marker and the camera, camera, processor, and the distance fi-om the light source. The study is based on an open source Java programming language algorithm, where the algorithm is tested with 10 markers. It was found that the rotation error did not exceed 2%.

Nowadays three-dimensional imaging technology is used in biochemistry very intensively. It helps to distinguish image features faster with less resources, which are necessary to describe cell characteristics and to explain the origin of the biochemical processes. The article on the strength of Fuzzy logic classification solves fluorescent microscopy of HeLa cells image three-dimensional visualisation characteristic features problem. It is shown that object “luminance“ and “size“ characteristic features are useful to apply for three-dimensional biochemical images analysis. Biochemijoje itin intensyviai pradedamos naudoti trimačio vaizdinimo technologijos. Jos leidžia greičiau ir naudojant mažiau resursų, išskirti vaizduose esančius požymius, reikalingus ląstelių savybėms bei biocheminių procesų kilmei išaiškinti. Straipsnyje sprendžiama fluorescencinės mikroskopijos HeLa ląstelių vaizdų charakteringųjų požymių atrankos trimačio vaizdavimo, naudojant neraiškios logikos klasifikatorių, uždaviniui problema. Parodyta, kad tikslinga biocheminių vaizdų trimatei analizei taikyti objektų skaisčio ir dydžio charakteringuosius požymius.