Add to ORKGAbstract-The present work describes a new approach to integrating structural knowledge into the image classification process. First, a fuzzy classifier produces a fuzzy partition of the image. Then, the defuzzified (crisp) partition is tried to be improved. According to the membership degrees in the fuzzy partition, the system selects a set of pixels and associates a set of candidate classes with each of them. The initial crisp partition is improved by reassigning each selected pixel to one of the classes it may belong to. This is performed by a combinatorial optimization strategy. The aim is to maximize the adequacy between the regions defined by the crisp partition and the available structural knowledge. First experiments on synthetic dat...
A major design issue in content-based image retrieval system is the selection of the feature set. Th...
Topological features are very seldom exploited in image processing, also due to the complexity of th...
The primary motivation for the work is to provide a complete framework for a computer vision system ...
In this thesis we investigate how artificial intelligent techniques, namely fuzzy logic and genetic/...
The problem of structure extraction from the image which contains many clustered objects is a challe...
This paper presents a novel adaptation of fuzzy clustering and feature encoding for image classifica...
A new method for color image segmentation using fuzzy logic is proposed in this paper. Our aim here ...
Fast content-based image retrieval is still a challenge for computer systems. We present a novel met...
The processes of intelligent data processing in computer vision systems have been researched. The pr...
At present a great deal of research is being done in different aspects of Content-Based Image Re-tri...
This paper describes the use of a complex modular image processing system for texture classification...
Fuzzy segmentation is a technique that assigns to each element in an image (which may have been corr...
In a Web-oriented society, organization, retrieval, and classification of digital images have become...
In this paper we present a neuro-fuzzy approach for classification of image pixels into three classe...
An attempt is made here to demonstrate the way of implementing the concept of fuzzy geometry in imag...
A major design issue in content-based image retrieval system is the selection of the feature set. Th...
Topological features are very seldom exploited in image processing, also due to the complexity of th...
The primary motivation for the work is to provide a complete framework for a computer vision system ...
In this thesis we investigate how artificial intelligent techniques, namely fuzzy logic and genetic/...
The problem of structure extraction from the image which contains many clustered objects is a challe...
This paper presents a novel adaptation of fuzzy clustering and feature encoding for image classifica...
A new method for color image segmentation using fuzzy logic is proposed in this paper. Our aim here ...
Fast content-based image retrieval is still a challenge for computer systems. We present a novel met...
The processes of intelligent data processing in computer vision systems have been researched. The pr...
At present a great deal of research is being done in different aspects of Content-Based Image Re-tri...
This paper describes the use of a complex modular image processing system for texture classification...
Fuzzy segmentation is a technique that assigns to each element in an image (which may have been corr...
In a Web-oriented society, organization, retrieval, and classification of digital images have become...
In this paper we present a neuro-fuzzy approach for classification of image pixels into three classe...
An attempt is made here to demonstrate the way of implementing the concept of fuzzy geometry in imag...
A major design issue in content-based image retrieval system is the selection of the feature set. Th...
Topological features are very seldom exploited in image processing, also due to the complexity of th...
The primary motivation for the work is to provide a complete framework for a computer vision system ...