This thesis introduces a method of texture segmentation, which is invariant with respect to orientation, scale and shift. The method is based on feature extraction by multi-channel Gabor filtering. The channels of the filter bank are organized in a polar-log scheme according to Fourier-Mellin approaches. The extracted features are classified with symmetric phase-only matched filtering. As these filters are optimal for the determination of peak location, orientation angle and scaling factor can be determined very precisely. Furthermore, the segmentation is insensitive with respect to noise. The thesis provides design criteria for filter banks. The segmentation algorithm automatically generates filter banks according to these criteria. The se...
Gabor features are a common choice for texture analysis. There are several pop-ular sets of Gabor fi...
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well kno...
Abstract. The paper introduces a new method of texture segmentation efficiency evaluation. One of th...
A method of rotation and scale invariant texture segmentation is proposed, which can also be employe...
The focus of this thesis is on the development of texture segmentation algorithm. The texture featu...
A method of rotation and scale invariant texture recognition is proposed, which can also be employed...
A method for rotation and scale invariant texture segmentation is proposed, which can be also employ...
A method for rotation and scale invariant texture segmentation is proposed, which can be also employ...
In this paper, we focus on invariant texture segmentation, and propose a new method using circular G...
In this paper, we focus on invariant texture segmentation, and propose a new method using circular G...
In this paper, we focus on invariant texture segmentation, and propose a new method using circular G...
This contribution describes a novel approach to orientation and scale-invariant detection of texture...
Two criteria for invariant supervised texture segmentation based on multi-channel approaches are int...
The present work deals with image segmentation which results in the subdivision of an image into its...
Vision-based inspection of industrial materials such as textile webs, paper, or wood requires the de...
Gabor features are a common choice for texture analysis. There are several pop-ular sets of Gabor fi...
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well kno...
Abstract. The paper introduces a new method of texture segmentation efficiency evaluation. One of th...
A method of rotation and scale invariant texture segmentation is proposed, which can also be employe...
The focus of this thesis is on the development of texture segmentation algorithm. The texture featu...
A method of rotation and scale invariant texture recognition is proposed, which can also be employed...
A method for rotation and scale invariant texture segmentation is proposed, which can be also employ...
A method for rotation and scale invariant texture segmentation is proposed, which can be also employ...
In this paper, we focus on invariant texture segmentation, and propose a new method using circular G...
In this paper, we focus on invariant texture segmentation, and propose a new method using circular G...
In this paper, we focus on invariant texture segmentation, and propose a new method using circular G...
This contribution describes a novel approach to orientation and scale-invariant detection of texture...
Two criteria for invariant supervised texture segmentation based on multi-channel approaches are int...
The present work deals with image segmentation which results in the subdivision of an image into its...
Vision-based inspection of industrial materials such as textile webs, paper, or wood requires the de...
Gabor features are a common choice for texture analysis. There are several pop-ular sets of Gabor fi...
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well kno...
Abstract. The paper introduces a new method of texture segmentation efficiency evaluation. One of th...