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Automatic Verification of Product Assembling Correctness
Doležal, Petr ; Šmirg, Ondřej (referee) ; Říha, Kamil (advisor)
This diploma evaluates methods for verification of key characteristics of a product using digital image processing techniques. At first, reasons why this work has been done are described followed by a list of all methods that were used in this diploma such as Hough Circle Transform and Flood Fill (Seed Fill) algorithm. Also, a new approach how to compensate non regularly illuminated scene, which is based on surface modeling with Bézier Surfaces, was developed. Moreover, the algorithm was implemented in the C++ programming language and some of the parts were also simulated using the MATLAB environment. The algorithm was evaluated based on the percentage level of recognition of the required parameters. Efficiency of the implementation is also important for the author.
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PC control via eyes
Neuwirth, Tomáš ; Číp, Pavel (referee) ; Horák, Karel (advisor)
The presented master thesis deals with the evaluation of the position of the iris compared with surroundings of the eye. This technique is supposed to be use for computer control. The created software works in real-time mode, the pictures are taken with an ordinary webcam. The first part of the work presents basic algorithms used in computer vision for edit of images. The following part is focused on abilities of methods to find the face, eyes and to detect the iris. The detection and the subsequent separation of the face is based on the recognition of skin colour in the YCbCr color space. The position of eye is then searched in the face by Haar-like features. The darkest part of the eye is found by horizontal projection from surroundings and the seed point is started from this place. From the area which is filled by the seed method (Flood Fill) and which shows the iris, the cursor movement is controlled by obtained x and y position.
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Automatic Text Recognition for Robots
Hartman, Zdeněk ; Materna, Zdeněk (referee) ; Španěl, Michal (advisor)
This bachelor thesis describe module design for text detection and recognition for use in robotic systems. To detect charters is used Stroke Width transform, which is applied on the input edge image. In the output image after Stroke Width transform are found connected components. For letter grouping into a words is used Hough transform, which is applied on the created binary image. This image contains points, which corresponding positions of found connected components. To recognize signs in detected areas is used Tesseract library. Before recognition detected areas are extracted and rotated into a horizontal position. This proposed detector can detect even rotated text. Accuracy of detection of the text is 75% above the test set "informační tabule".
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Rain Prediction Using Meteo-Radar
Gerych, Petr ; Hradiš, Michal (referee) ; Szőke, Igor (advisor)
This paper deal with the rain prediction in the short time interval. The static pictures from meteo-radar serves as input data. The principle of meteo-radar is explained. The possible methods of the object detection and registration, motion interpolation and extrapolation is described. The flood fill algorithm and Lagrange extrapolation is applied to rain prediction. Application is written in C++ language under OS Linux. The example of the software application results is included.
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Demonstration Application of Algorithms for Closed Areas Filling in 2D
Hort, Pavel ; Šilhavá, Jana (referee) ; Venera, Jiří (advisor)
This thesis describes methods used for filling closed areas in 2D. This text describes the most frequently used algorithms for this task. The first part of thesis describes both the main groups, vector algorithms and raster algorithms. Positives and negatives of these algorithms are described. For few of these algorithms is also mentioned how to optimize this algorithms or how to implement them using a different way. Next part of this text describes implementation of these algorithms for purpose of tracing them into. Last part of this text describes classes used in application. Also graphic user interface is described here.
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Demonstration Application of Algorithms for Closed Areas Filling in 2D
Hort, Pavel ; Šilhavá, Jana (referee) ; Venera, Jiří (advisor)
This thesis describes methods used for filling closed areas in 2D. This text describes the most frequently used algorithms for this task. The first part of thesis describes both the main groups, vector algorithms and raster algorithms. Positives and negatives of these algorithms are described. For few of these algorithms is also mentioned how to optimize this algorithms or how to implement them using a different way. Next part of this text describes implementation of these algorithms for purpose of tracing them into. Last part of this text describes classes used in application. Also graphic user interface is described here.
|
|
|
Rain Prediction Using Meteo-Radar
Gerych, Petr ; Hradiš, Michal (referee) ; Szőke, Igor (advisor)
This paper deal with the rain prediction in the short time interval. The static pictures from meteo-radar serves as input data. The principle of meteo-radar is explained. The possible methods of the object detection and registration, motion interpolation and extrapolation is described. The flood fill algorithm and Lagrange extrapolation is applied to rain prediction. Application is written in C++ language under OS Linux. The example of the software application results is included.
|
|
|
Automatic Text Recognition for Robots
Hartman, Zdeněk ; Materna, Zdeněk (referee) ; Španěl, Michal (advisor)
This bachelor thesis describe module design for text detection and recognition for use in robotic systems. To detect charters is used Stroke Width transform, which is applied on the input edge image. In the output image after Stroke Width transform are found connected components. For letter grouping into a words is used Hough transform, which is applied on the created binary image. This image contains points, which corresponding positions of found connected components. To recognize signs in detected areas is used Tesseract library. Before recognition detected areas are extracted and rotated into a horizontal position. This proposed detector can detect even rotated text. Accuracy of detection of the text is 75% above the test set "informační tabule".
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|
|
PC control via eyes
Neuwirth, Tomáš ; Číp, Pavel (referee) ; Horák, Karel (advisor)
The presented master thesis deals with the evaluation of the position of the iris compared with surroundings of the eye. This technique is supposed to be use for computer control. The created software works in real-time mode, the pictures are taken with an ordinary webcam. The first part of the work presents basic algorithms used in computer vision for edit of images. The following part is focused on abilities of methods to find the face, eyes and to detect the iris. The detection and the subsequent separation of the face is based on the recognition of skin colour in the YCbCr color space. The position of eye is then searched in the face by Haar-like features. The darkest part of the eye is found by horizontal projection from surroundings and the seed point is started from this place. From the area which is filled by the seed method (Flood Fill) and which shows the iris, the cursor movement is controlled by obtained x and y position.
|
|
|
Automatic Verification of Product Assembling Correctness
Doležal, Petr ; Šmirg, Ondřej (referee) ; Říha, Kamil (advisor)
This diploma evaluates methods for verification of key characteristics of a product using digital image processing techniques. At first, reasons why this work has been done are described followed by a list of all methods that were used in this diploma such as Hough Circle Transform and Flood Fill (Seed Fill) algorithm. Also, a new approach how to compensate non regularly illuminated scene, which is based on surface modeling with Bézier Surfaces, was developed. Moreover, the algorithm was implemented in the C++ programming language and some of the parts were also simulated using the MATLAB environment. The algorithm was evaluated based on the percentage level of recognition of the required parameters. Efficiency of the implementation is also important for the author.
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