This thesis deals with conformal geometric algebra CGA for colour image processing, particularly with colour segmentation. For this reason it is not sufficient to work in RGB colour space. It is more convenient to use a colour space called CIELAB. CIELAB is endowed by Euclidean metric corresponding with human perception of colours. Afterwards an algorithm for an object detection via CGA based on colour differences is included. The final part of the thesis deals with least squares fitting of sphere to points using CGA. The sphere fitting is then used to adjust colour differences in an image to improve the algorithm for an object detection
This thesis studies the use of colour information for object recognition. A new representation for o...
Image segmentation and object detection is challenging problem in many research. Although many algor...
Geometric algebra (also known as Clifford algebra) is a powerful mathematical tool that offers a nat...
This thesis deals with conformal geometric algebra (CGA) in image processing. We focus on correct de...
This paper describes advancement in color image process-ing, using Geometric Algebra (GA). This is a...
Abstract. This paper introduces the mathematical framework of con-formal geometric algebra (CGA) as ...
The main subject of this PhD thesis is colour image processing. The first methods dealing with these...
This paper describes an advancement in color image processing, using geometric algebra. This is achi...
International audienceThis study presents an image segmentation algorithm working on the spherical c...
Development of processing methods for color images has been slow, but over the past 10-15 years idea...
Edge detection is one of the most used methods for feature extraction in computer vision application...
Linear vector colour image processing (LVCIP) has been researched for about two decades in the field...
This thesis takes an interdisciplinary approach to the study of color vision, focussing on the phe...
collision detection, motion analysis. This paper discusses a coordinate-free geometric approach to o...
Detection of objects based on color is not commonly used method of computer vision. There are many m...
This thesis studies the use of colour information for object recognition. A new representation for o...
Image segmentation and object detection is challenging problem in many research. Although many algor...
Geometric algebra (also known as Clifford algebra) is a powerful mathematical tool that offers a nat...
This thesis deals with conformal geometric algebra (CGA) in image processing. We focus on correct de...
This paper describes advancement in color image process-ing, using Geometric Algebra (GA). This is a...
Abstract. This paper introduces the mathematical framework of con-formal geometric algebra (CGA) as ...
The main subject of this PhD thesis is colour image processing. The first methods dealing with these...
This paper describes an advancement in color image processing, using geometric algebra. This is achi...
International audienceThis study presents an image segmentation algorithm working on the spherical c...
Development of processing methods for color images has been slow, but over the past 10-15 years idea...
Edge detection is one of the most used methods for feature extraction in computer vision application...
Linear vector colour image processing (LVCIP) has been researched for about two decades in the field...
This thesis takes an interdisciplinary approach to the study of color vision, focussing on the phe...
collision detection, motion analysis. This paper discusses a coordinate-free geometric approach to o...
Detection of objects based on color is not commonly used method of computer vision. There are many m...
This thesis studies the use of colour information for object recognition. A new representation for o...
Image segmentation and object detection is challenging problem in many research. Although many algor...
Geometric algebra (also known as Clifford algebra) is a powerful mathematical tool that offers a nat...