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Detection of eyes in facial images by means of Hough transform
Janovič, Tomáš ; Čmiel, Vratislav (referee) ; Walek, Petr (advisor)
The thesis discusses the detection of eyes in facial images by means of Hough transform. It is dedicated in the necessary preprocessing of the image, especially in edge detection. Further it discusses the Hough transform itself and describes the method for detection of simple shapes such as lines and circles. Subsequently, the thesis illustrates the implementation of Hough transform for detecting circles along with an algorithm evaluating Hough space. The last part contains the results and an assessment of detection algorithm along with a discussion of utilization the Hough transform for detection of eyes in facial images.
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Image segmentation on GPU
Bravenec, Tomáš ; Mego, Roman (referee) ; Frýza, Tomáš (advisor)
Bachelor thesis is focused on using graphical processing units for parallel data processing, specifically on image processing. Main focus of this thesis is determining time difference in image processing using graphical processing unit and classic approach on processor. Another focus is accessing webcam and processing of captured frames.
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Detection of optic disc from fundus camera sequences
Juráček, Radek ; Harabiš, Vratislav (referee) ; Hracho, Michal (advisor)
This bachelor thesis deals with optical disc detection in retinal images taken by an experimental video ophthalmoscope. At the beginning, it briefly describes the anatomy of the eyesight and retina, retinal disease and selected diagnostic methods of retinal imaging. There are described methods of detecting objects in the image, which are subsequently used in the practical part dealing with optical disc detection using Hough transformation and matched filtration. Proposed procedures were tested on a 100-image set. Hough Transformation Detection was successful in 64% of cases, matched filtration was successful in 44% of cases.
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Removal of Anesthesia Tube from Pediatric CT Data
Šejnohová, Marie ; Čmiel, Vratislav (referee) ; Walek, Petr (advisor)
The goal of this semestral thesis is to detect and subsequently to eliminate an anaesthesiological tube from a pediatric CT data using a Hough transform. It describes particular edge detectors based on the first and the second differences. In addition, it explains a principle of the edge detection using to this detectors. Then there is talked about the Hough Transform where is described a parametric space for lines and circles detection. Here follows a description of image to the parametric space. In a practical part there is implementation of the edge detection and the Hough transform. The Hough space must be normalized to better evaluation. At the evaluation there are found a concentric cicrles corresponding with edges of an anaesthesiological tube which is then possible to remove.
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Detection of optic disc from fundus camera sequences
Juráček, Radek ; Harabiš, Vratislav (referee) ; Hracho, Michal (advisor)
This semestral thesis deals with shape detection in images and application of it for detection of optic disk in sequence of fundus camera images. It describes major features of the human eye and retinal diseases. Further the thesis discusses some methods of image preprocessing, segmentation and generalised Hough transform for fundus images which is the main work content for optic disc localization. Practical part describes the proposed methods for detection of optical disk based on a circular Hough transformation and adapted filtering. Method of adaptad filtering achieved median of overlap 59,1%, method using fast Hough transform algorithm achieved median of overlap 24,95%, method using clasic Hough transform algorithm achieved median of overlap 29,95%.
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Detection of optic disc from fundus camera sequences
Juráček, Radek ; Harabiš, Vratislav (referee) ; Hracho, Michal (advisor)
This bachelor thesis deals with optical disc detection in retinal images taken by an experimental video ophthalmoscope. At the beginning, it briefly describes the anatomy of the eyesight and retina, retinal disease and selected diagnostic methods of retinal imaging. There are described methods of detecting objects in the image, which are subsequently used in the practical part dealing with optical disc detection using Hough transformation and matched filtration. Proposed procedures were tested on a 100-image set. Hough Transformation Detection was successful in 64% of cases, matched filtration was successful in 44% of cases.
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Detection of optic disc from fundus camera sequences
Juráček, Radek ; Harabiš, Vratislav (referee) ; Hracho, Michal (advisor)
This semestral thesis deals with shape detection in images and application of it for detection of optic disk in sequence of fundus camera images. It describes major features of the human eye and retinal diseases. Further the thesis discusses some methods of image preprocessing, segmentation and generalised Hough transform for fundus images which is the main work content for optic disc localization. Practical part describes the proposed methods for detection of optical disk based on a circular Hough transformation and adapted filtering. Method of adaptad filtering achieved median of overlap 59,1%, method using fast Hough transform algorithm achieved median of overlap 24,95%, method using clasic Hough transform algorithm achieved median of overlap 29,95%.
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Image segmentation on GPU
Bravenec, Tomáš ; Mego, Roman (referee) ; Frýza, Tomáš (advisor)
Bachelor thesis is focused on using graphical processing units for parallel data processing, specifically on image processing. Main focus of this thesis is determining time difference in image processing using graphical processing unit and classic approach on processor. Another focus is accessing webcam and processing of captured frames.
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Optic disc detection in video-sequences from experimental fundus camera
Daněk, Daniel ; Štohanzlová, Petra (referee) ; Odstrčilík, Jan (advisor)
This bachelor thesis deals with the analysis of images from experimental fundus camera, especially with structure of optic disc. The theoretical part describes major features of the human eye and principles of examination, especially examinations of fundus camera. This thesis discusses some methods of analysis and segmentation fundus images. The main work content is based on Hough transform and edge detection for optic disc localization. In the practical part of bachelor thesis we created Hough transform algorithm. Fundus images were tested with this algorithm method.
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Removal of Anesthesia Tube from Pediatric CT Data
Šejnohová, Marie ; Čmiel, Vratislav (referee) ; Walek, Petr (advisor)
The goal of this semestral thesis is to detect and subsequently to eliminate an anaesthesiological tube from a pediatric CT data using a Hough transform. It describes particular edge detectors based on the first and the second differences. In addition, it explains a principle of the edge detection using to this detectors. Then there is talked about the Hough Transform where is described a parametric space for lines and circles detection. Here follows a description of image to the parametric space. In a practical part there is implementation of the edge detection and the Hough transform. The Hough space must be normalized to better evaluation. At the evaluation there are found a concentric cicrles corresponding with edges of an anaesthesiological tube which is then possible to remove.
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