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Colour image histogram processing
Kučera, Ondřej ; Číka, Petr (referee) ; Říha, Kamil (advisor)
This bachelor thesis deals with processing of colour image histogram. To better undestanding of this problem it describes individual methods which edit colour image and its histogram. The thesis suggests a program implementation which allows processing of colour image and its histogram.
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Facial expression recognition
Vránová, Markéta ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This project deals with automatic recognition of facial expression in colour pictures. At first, the colour-based face detection is accomplished, three colour spaces are used: RGB, HSV and YCbcCr. As next, the pictures are automatically cropped so that only the face region is present. It is accomplished by computing the borders of the face region based on knowledge of position of eyes, nose and mouth. From the face region, the feature vector is obtained using a bank of Gabor filters. The project introduces two different kinds of Gabor filters and proposes a new bank of filters. The feature vector is used as an input to the neural network. The neural network was trained on a set of pictures from AR database created for facial expression recognition. The output of the network is the facial expression the input picture was assigned to. This project mentions the testing for different settings of the neural network and presents and discuss the recognition results of the network.
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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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Color images segmentation using artificial neural networks
Zátopek, Michal ; Jirsík, Václav (referee) ; Hynčica, Tomáš (advisor)
The bachelor’s thesis deals with possibilities of using artificial neural networks in the color image segmentation. It describes artificial neural networks generally from the basics. First, the analysis focuses on basic models used for segmentation of color images and compares them. From these networks the most suitable candidate is selected for a solution of the problem (image segmentation with a dedicated object of interest). It also deals with a description of some color models used to represent colors. These models are compared and on the basis of their properties is selected the most appropriate model. Based on previous selections, neural networks and color space an application for the segmentation of the input image is created. With its help the selected color model is tested in terms of segmentation quality.
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Modern methods for digital scene capturing
Nováček, Petr ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
The thesis composes conventional and modern methods for digital scene capturing. The target of the thesis is a comparison of CMOS with Bayer mask and Foveon X3 Merrill sensors followed by a design of algorithms for image fusion which can combine advantages of the both sensor types. The thesis starts with an introduction and a description of methods and processes leading to scene capturing. The next part deals with capturing a gallery of test images and with a comparison of both sensors based on the gallery images. Further there are algorithms designed for image fusion which can combine advantages of the selected sensors. The last part of the thesis is devoted to an evaluation of results and of the used algorithms.
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Color images segmentation using artificial neural networks
Zátopek, Michal ; Jirsík, Václav (referee) ; Hynčica, Tomáš (advisor)
The bachelor’s thesis deals with possibilities of using artificial neural networks in the color image segmentation. It describes artificial neural networks generally from the basics. First, the analysis focuses on basic models used for segmentation of color images and compares them. From these networks the most suitable candidate is selected for a solution of the problem (image segmentation with a dedicated object of interest). It also deals with a description of some color models used to represent colors. These models are compared and on the basis of their properties is selected the most appropriate model. Based on previous selections, neural networks and color space an application for the segmentation of the input image is created. With its help the selected color model is tested in terms of segmentation quality.
|
|
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Facial expression recognition
Vránová, Markéta ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This project deals with automatic recognition of facial expression in colour pictures. At first, the colour-based face detection is accomplished, three colour spaces are used: RGB, HSV and YCbcCr. As next, the pictures are automatically cropped so that only the face region is present. It is accomplished by computing the borders of the face region based on knowledge of position of eyes, nose and mouth. From the face region, the feature vector is obtained using a bank of Gabor filters. The project introduces two different kinds of Gabor filters and proposes a new bank of filters. The feature vector is used as an input to the neural network. The neural network was trained on a set of pictures from AR database created for facial expression recognition. The output of the network is the facial expression the input picture was assigned to. This project mentions the testing for different settings of the neural network and presents and discuss the recognition results of the network.
|
|
|
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.
|
|
|
Colour image histogram processing
Kučera, Ondřej ; Číka, Petr (referee) ; Říha, Kamil (advisor)
This bachelor thesis deals with processing of colour image histogram. To better undestanding of this problem it describes individual methods which edit colour image and its histogram. The thesis suggests a program implementation which allows processing of colour image and its histogram.
|
|
|
Modern methods for digital scene capturing
Nováček, Petr ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
The thesis composes conventional and modern methods for digital scene capturing. The target of the thesis is a comparison of CMOS with Bayer mask and Foveon X3 Merrill sensors followed by a design of algorithms for image fusion which can combine advantages of the both sensor types. The thesis starts with an introduction and a description of methods and processes leading to scene capturing. The next part deals with capturing a gallery of test images and with a comparison of both sensors based on the gallery images. Further there are algorithms designed for image fusion which can combine advantages of the selected sensors. The last part of the thesis is devoted to an evaluation of results and of the used algorithms.
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