Automatyka
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ISSN 1429-3447
e-ISSN: 2353-0952
Issue Date
2007
Volume
T. 11
Number
Nr 3
Description
Journal Volume
Automatyka
T. 11 (2007)
Projects
Pages
Articles
Kalibracja systemu wizyjnego z kamerą CCD na potrzeby wysokotemperaturowych pomiarów właściwości powierzchniowych
(Wydawnictwa AGH, 2007) Fabijańska, Anna; Sankowski, Dominik
This paper presents a technique for calibration of CCD camera system for digital image quantitative analysis applications. Especially high temperature measurements of surface properties are considered. The calibration process is focused on correction of these defects that arise from CCD chip imperfections and can influence on accuracy of object shape projection.
Nowe podejście do usuwania szumu na drodze filtracji medianowej
(Wydawnictwa AGH, 2007) Fabijańska, Anna; Strzecha, Krzysztof; Sankowski, Dominik
In the paper, algorithm for removal of noise was presented. Proposed algorithm is based on median filter and it works in two stages: in the first stage, there is built map of point, which brightness level should be changed in the second stage. Deep analysis of the algorithm was provided.
Metoda segmentacji obrazów mikroskopowych komórek roślinnych znakowanych radiograficznie do wyznaczania poziomu syntezy DNA w jądrach komórkowych
(Wydawnictwa AGH, 2007) Gocławski, Jarosław; Sekulska-Nalewajko, Joanna; Anioł, Patryk
This paper presents the segmentation algorithm for autoradiograms of microscopic slices made of radish (Raphanus sativus) root meristematic cells stained with the Feulgen method. The segmentation purpose is the separation of isotopic marked agglomeration areas, what makes the base for subsequent quantitative discrimination of nucleic acid (DNA) synthesis level. The speed of genetic material multiplication can indicate the distortions of plant growth caused by various factors harmful for the environment. The investigated autoradiographic microscopic images are mapped from RGB to HSV colour space, median filtered, processed by morphological operations and finally thresholded to find the searched marker objects and nuclei surfaces. These operations enable image background equalization and artefact reduction. Two different paths of processing have been applied to extract small and bigmarker agglomerations. The proposed algorithm has been developed in MATLAB 7 environment and segmentation results for the series of 10 autoradiograms have been positively verified by cytologists.
Analiza możliwości wykorzystania funkcji biblioteki »OpenCV 1.0« do automatycznego dopasowania zdjęć lotniczych
(Wydawnictwa AGH, 2007) Gryboś, Paweł; Mikrut, Sławomir
In this paper the way of using functions from open source library to image processing in matching algorithm is presented. The correlation algorithm which use library functions useful to image matching is describe, take into problems and advantages came from air images. During the experiments optimal size of template and value of correlation coefficient decided if matching is correct were established. The research was done on real images and different texture. The method of the generated before grid was tested too. Matching points covered the area of stereograms and are located evenly on the stereograms, which is necessary in relative orientation process.
Detekcja mostów w obrazach 3D prezentujących propagację pęknięć korozyjnych naprężeniowych w stali nierdzewnej
(Wydawnictwa AGH, 2007) Janaszewski, Marcin Sławomir; Babout, Laurent
This paper presents an algorithm to identify bridges in 3D objects represented with a set of connected voxels. The notion of a bridge can be defined as a part of a material with higher resistance to stress corrosion. Therefore if a crack meets a bridge it splits itself into two branches, which surround the bridge and merge when it finishes. Thus from the 3D image analysis point of view a bridge can be treated as a hole in a volumetric object which represents a crack. The literature analysis shows that usually detection of holes is carried out based on the object skeleton and localization of loops in the skeleton as each loop implies occurrence of a hole. Unfortunately, due to unprecedented complexity of tested images, commonly used skeletonization algorithms fail. Therefore authors decided to construct a new algorithm of whole detection which consists of two stages. The first one lies in the application of a voxel coding technique to make a transformation of an object into a set of clusters, where a cluster is a set of connected voxels. The set of clusters gives important information about the object topology. In the second step the algorithm extracts and analyses clusters to detect holes. The algorithm was satisfyingly tested on several 3D crack images from a stress corrosion cracking experiment on a stainless steel sample. The discussion of obtained results and propositions for future works are also included in the paper.