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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.
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System for visualization of semiconductor manufacturing data
Turoň, Rudolf ; Holek, Radovan (referee) ; Petyovský, Petr (advisor)
This master thesis focuses on the design and implementation of a web application for visualization and annotation of semiconductor manufacturing data. The aim of the thesis is to conduct a survey of available data visualization methods and technologies used for web applications, define the requirements for such a visualization system, theoretical design and implementation of this solution. It also includes testing, incorporation of feedback obtained from application users and demonstration of application use on production data. The final application is implemented using a client-server architecture through a REST API for communication. The frontend part of the application allows searching, visualization and editing of the wafer map defects. WebGL technology and PixiJS library were used to render graphics for interactive visualization of the wafer maps on the web. The backend part is implemented using Java 17 in conjunction with Spring Boot technology and provides data processing and communication with other systems. The thesis concludes with a discussion of the results obtained and a summary of the possibilities for further improvements of the application.
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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.
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