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Face detection in image
Pospíšil, Lukáš ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
The main puprose of this paper is to introduce some of algorithms used in face detection in images. This paper focuses on face detection by using a skin-color based segmentation that is computed in three color spectrums (RGB,YCbCr and HSV). This paper also includes software for face detection in pictures and videos.
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Parallelization and Optimization of Image Processing Applications
Šiška, Jakub ; Seeman, Michal (referee) ; Černocký, Jan (advisor)
This Bachelor's Thesis was performed during a study stay at the École Supérieure d'Ingénieurs en Électronique et Électrotechnique Paris, France. It proposes solution for speeding up image processing algorithm and its adoption for use with real-time video stream from the infra red camera. The first part discusses characteristics and basic principles of the IR technology, followed by specifications of used camera. Ongoing text also proposes solution of problems concerning network communication with the camera. In addition, it describes camera's output stream format characteristics and solution for output visualisation. Substantial part of this work covers issues concerning parallelization and optimization of video stream and image file data processing. Problem of the parallelisation for this case is explained together with implemented parallelization method. Entire theoretical part is supported with the real results, benchmarks, which are presented in the last chapter.
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Motion Detection in Video
Polanský, Petr ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
The objective of this work is evaluate motion detection using Gaussian Mixture Model. When algorithm detects motion, it creates short video capturing this motion and visualizing it properly. Visualization is made by white pixels intensity graph. System is applicable on less busy area when motion is more noticeable. Results of this work shows how surrounding environment and camera position influence detection.
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Morphological Operations in Image Processing
Kolouchová, Michaela ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
Mathematical morphology stems from set theory and it makes use of properties of point sets. The first point set is an origin image and the second one (usually smaller) is a structuring element. Morphological image transformations are image to image transformations based on a few elementary set operators. Fundamental morphologic operations are dilation, erosion and hit or miss. Next operations described in this work are opening and closing. Originally morphological operators were used for binary images only, later they were generalized for grey tone and color ones. This work describes the basic morphological image processing methods including their practical usage in image filtering and segmentation.
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Motion Detection in Video
Polanský, Petr ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
The objective of this work is evaluate motion detection using Gaussian Mixture Model. When algorithm detects motion, it creates short video capturing this motion and visualizing it properly. Visualization is made by white pixels intensity graph. System is applicable on less busy area when motion is more noticeable. Results of this work shows how surrounding environment and camera position influence detection.
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Face detection in image
Pospíšil, Lukáš ; Harabiš, Vratislav (referee) ; Mézl, Martin (advisor)
The main puprose of this paper is to introduce some of algorithms used in face detection in images. This paper focuses on face detection by using a skin-color based segmentation that is computed in three color spectrums (RGB,YCbCr and HSV). This paper also includes software for face detection in pictures and videos.
|
|
|
Parallelization and Optimization of Image Processing Applications
Šiška, Jakub ; Seeman, Michal (referee) ; Černocký, Jan (advisor)
This Bachelor's Thesis was performed during a study stay at the École Supérieure d'Ingénieurs en Électronique et Électrotechnique Paris, France. It proposes solution for speeding up image processing algorithm and its adoption for use with real-time video stream from the infra red camera. The first part discusses characteristics and basic principles of the IR technology, followed by specifications of used camera. Ongoing text also proposes solution of problems concerning network communication with the camera. In addition, it describes camera's output stream format characteristics and solution for output visualisation. Substantial part of this work covers issues concerning parallelization and optimization of video stream and image file data processing. Problem of the parallelisation for this case is explained together with implemented parallelization method. Entire theoretical part is supported with the real results, benchmarks, which are presented in the last chapter.
|
|
|
Morphological Operations in Image Processing
Kolouchová, Michaela ; Hradiš, Michal (referee) ; Herout, Adam (advisor)
Mathematical morphology stems from set theory and it makes use of properties of point sets. The first point set is an origin image and the second one (usually smaller) is a structuring element. Morphological image transformations are image to image transformations based on a few elementary set operators. Fundamental morphologic operations are dilation, erosion and hit or miss. Next operations described in this work are opening and closing. Originally morphological operators were used for binary images only, later they were generalized for grey tone and color ones. This work describes the basic morphological image processing methods including their practical usage in image filtering and segmentation.
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