|
|
Image Motion Detection
Zítka, Michal ; Richter, Miloslav (referee) ; Horák, Karel (advisor)
This bachelor project dissert on detection of motion in image. Also sumary basic methods for detection of motion in image and method of segmentation using active contour. In practical section is attention paid to detection of motion in video camera screenshots.
|
|
|
Barcode recognition system
Svoboda, Radovan ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This work deals with principle and technological process used to detect barcodes that are commonly used. It contains brief overview of barcodes according to type and structure. Also it takes a closer look on type DATAMATRIX and its analysis. It describes possible hardware and software approaches that can be used to detect barcodes, describes concrete concept of scanning barcode and software solution for its identification.
|
|
|
Applied Methods for Transparent Materials Inspection
Horák, Karel ; Honec, Jozef (advisor)
A lot of production lines contain camera inspection systems that increase quality of production. Therefore this presented work deals with applications of computer image processing methods in defectoscopy. Concretely the thesis is concerned with defects evaluation of glass bottles in food operations by the help of visual system BTCAM612, which is in existing configuration installed inland and in several foreign countries. The system is developed in conjunction with developer company CAMEA Ltd. from Brno and it is its sole ownership. The whole process of bottles inspection is described in sequence. First of all it is the hardware acquisition of images of three main controlled parts of bottles – neck, bottom and side. Next chapters are concentrated on image processing and features classification. The features are obtained from image by methods based on detection of in-homogeneities on glass material. Essential part of work is focused on filtration of synthetic patterns from bottles bottoms using function of complex invariants. These patterns are occurred especially in many plants in eastern countries, where marketplace with inspection systems and generally with quality inspection of industrial lines is expanded lately.
|
|
| |
|
|
Simulation models of human operator.
Boháč, Petr ; Horák, Karel (referee) ; Havlíková, Marie (advisor)
This paper deals with simulation models of the human operator controlling lateral position of simulated vehicle. I am comparing parameters and quality of the McRuer human driver model and the PID controller. Simulated system is single-track vehicle model. Simulated driver is tasked to pass a Moose test with this vehicle model. I am using the simulated annealing method to find optimal parameters of the driver model and then I visualize realized test in 2D and 3D visualization. In the end of this paper I compare simulations of the driver models and assess achieved results.
|
|
|
Road detection using data from mobile robot camera
Peška, Jaroslav ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
Bachelor thesis deals with the problem of road detection by mobile robots using data obtained from its camera. First, current solutions are researched and considered for use in the proposed algorithm. Afterwards we define limit parameters of the entire solution. An automatic process using human-created reference was then devised to programatically determine the accuracy of individual versions of proposed solutions. First, an initial version of the solution was implemented, which was subsequently optimized and accelerated using GPGPU. Lastly, proposed algorithm is evaluated and possible future changes are outlined.
|
|
|
Determination of Motion Parameters in Machine Vision
Dušek, Stanislav ; Horák, Karel (referee) ; Janáková, Ilona (advisor)
This thesis describe about determination of camera motion parameters in plane. At first there are introduce the basics of motion tracking, is focused to find out displacement between two input images. Below is describe the algorithm GoodFeatruresToTrack, which find out the most significant point in a first image. The point is search out the good point, which will be easy to track in next image, reduce the data volume and prepare the input information (array of significant point) for the algorithm Lucas-Kanade optical flow. In second part is deal with processing and utilization estimations optical flow. There is median filtration, below is describe computation of homogenous transformation, which describe all affine transformation in affine space. As the result are coordinates, which describe the shift between the two input images as X-axis and Y-axis value. The project used the library Open Computer Vision.
|
|
|
Navigation using a turistic map
Mihál, Jakub ; Babinec, Tomáš (referee) ; Horák, Karel (advisor)
The master’s thesis deals with the design and realization of a program that is able to find the shortest route in the tourist map between selected points. The user can select the type of hiking trail. Application also generates terrain heightmap from contour lines and path elevation profile.
|
|
|
3D shape from camera pair
Bastl, Jiří ; Horák, Karel (referee) ; Richter, Miloslav (advisor)
The aim of this bachelor thesis is to create methods for obtaining 3D data from 2D images. This data will be used as an input data for algorithms which will process them into data formats creating 3D perception. In this work problem of rectification when we compare one image according to the other is solved as well as the problem of calculation of the model of a scene scanned with two cameras.
|
|
|
On Hyperspectral Analysis of Water Soluble Writing Inks
Zemčík, Tomáš ; Horák, Karel
In this short paper a possibility of using HyperspectralImaging based analysis of water soluble inks is investigated.The current research has investigated this method mostly formarker inks, ballpoint pen inks and gel inks, yet curiously thewhole water soluble ink class seems underrepresented. Sampleswere prepared and hyperspectral images of said samples taken,and some preliminary statistical analysis was performed. Thedata at this stage suggests that at least some samples arevisually distinguishable from other samples, while certain othersamples are virtually indistinguishable. A method for applyingthis knowledge in a handwritten text ink identification is brieflyoutlined and implemented in a simplified way, the results arepromising on good input data, but poor on subpar images.The weaknesses of the method are discussed and potentialimprovement strategies proposed.
|
guest ::
RSS feed.