National Repository of Grey Literature 143 records found  beginprevious41 - 50nextend  jump to record: Search took 0.02 seconds. 
Object detection in images using extended set of Haar-like features and histogram-based method
Králík, Martin ; Uher, Václav (referee) ; Burget, Radim (advisor)
This diploma thesis is focused on detection in images using extended set of Haar-like features and histogram-based method. At first is introduced a basic concept of extraction and classification image features. The next part bring own concept of image features based on Diffusion distance. Result of this work is implementation this methods in Rapidminer.
Image Interpolation
Václavík, Jan ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
This bachelor’s thesis deals with the comparison of different interpolation methods. And their use on different grey scaled 2D images. The main part is dealing with linear, quadratic and cubic method and their qualitative evaluation for multiple resizing of image resolution. The analysis is resolved in computing system Matlab.
Statistical Quality Control
Kutypa, Tomáš ; Kružík, Michal (referee) ; Fiala, Alois (advisor)
Tomáš Kutypa Statistical Quality Control BW, IPMSR, 2011, 48 pp., 28 figs. This bachelor’s thesis is reporting about statistical quality control.
Introduction to Six Sigma Method and its Application for Process Improvements
Šimek, Petr ; Kutálek, David (referee) ; Bednář, Josef (advisor)
In this thesis I dealt with the Six Sigma method and uses in practice in Miele technica s.r.o. company. The first part deals with the theoretical description of Six Sigma, DMAIC methodology and used tools as SIPOC, Ishikawa diagram, Pareto diagram, or regression or correlation. The second part describes the application of Six Sigma methods, which I had the opportunity to perform as a team leader in the assembly process of washing machines and dryers.
Image based road surface segmentation with lane detection
Turoň, Rudolf ; Honec, Peter (referee) ; Zemčík, Tomáš (advisor)
This bachelor thesis deals with road semantic segmentation with lane lines detection. The aim of the thesis is to conduct a survey of methods used for general segmentation and lane lines detection, collect a representative dataset for testing, design a data processing system including implementation for semantic segmentation and detection of lanes in image, video and live camera input. In preprocessing phase images are filtered using morphological transformations. The segmentation is performed using the watershed method with labels, and an adaptive algorithm is designed to find the labels. The lanes are searched for in the thresholded projectively transformed image using the sliding window technique. As a result, a segmentation accuracy of 88.3% is achieved based on the IoU metric. The thesis concludes with a discussion of the obtained results and summarizes the possibilities for further improvements of the system.
Application for Processing of a Photographed Text
Hotař, Roman ; Rozman, Jaroslav (referee) ; Grulich, Lukáš (advisor)
This work describes conversion methods of full-colour picture with text ( colour transition, various shades etc. ) into black and white form. It focuses mainly on adaptive thresholding. Mentions used data structures and describes interface of result application. The thesis describe at the conclusion the results of several functionality tests.
Software for manual focus of camera with 4K resolution
Sláma, Adam ; Přinosil, Jiří (referee) ; Kříž, Petr (advisor)
This Master thesis is focused on the analysis of currently used methods which whose target is to determine the rate of image focus. This analysis was used during the development of the program which evaluates the rate of image focus in percentage rate, works in real time and cooperates with a camera capable of 4k image resolution with a manual focus of the lenses. Application is then capable of a finding of a pre-defined image under certain circumstances which is being used for increasing of effectivity of image focusing. Another option is represented by a method that is searching the most suitable area for focusing in the center of the image. A detailed description of these methods and program itself are also included in the thesis. The final part of the thesis contains records of measurement tests with its results.
Object tracking in videofeed
Klvaňa, Marek ; Březina, Lukáš (referee) ; Krejsa, Jiří (advisor)
The aim of this thesis is a description and implementation of algorithms of the tracked objects in the video feed. This thesis introduces Mean shift and Continuously adaptive mean shift algorithms which represent category based on kernel tracking. For construction of a model is used a threedimensional color histogram whose construction is described in this thesis as well. The achievements of described algorithms are compared in the testing images sequences and evaluated in details.
Visual inspection
Lancz, Michal ; Honec, Peter (referee) ; Richter, Miloslav (advisor)
This semester thesis deals with the issue of visual inspection. As a gruop of controlled objects we have have chosen needles. In this work basic knowledge on the topic of computer vision is described. In the first part, methods of image processing such as smoothing filters and edge filters are discribed. The selected programming environment is Matlab. This enviroment can easily present and compare the obtained result. Following part presents the examples of the used resultant methods on the sample picture.
Gesture Recognition
Svoboda, Tomáš ; Mlích, Jozef (referee) ; Hradiš, Michal (advisor)
This Bachelor's thesis is engaged in recognition hand gestures. The advantages and disavantages of various color models for skin color detection are discussed here. Skin is detected by look-up table. Look-up table is created from histogram of skin color and optional from Gaussian distribution, whose parameters are estimated from histogram. Hidden Markov models are used for gesture classification. The HTK toolkit have been used for working with the models. Own decoder of Hidden Markov models based on Viterbi algorithm was created for real-time gesture recognition. Several experiments were accomplished with data sets for 4 gestures. The results of the experiments are very good.

National Repository of Grey Literature : 143 records found   beginprevious41 - 50nextend  jump to record:
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