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Several pattern recognition approaches for region-based image analysis.
| Content Provider | CiteSeerX |
|---|---|
| Author | Barbu, Tudor |
| Abstract | The objective of this paper is to describe some pattern recognition approaches for image segmentation. First, in the introduction, we present the general aspects of omogenity and texture recognition. Then we provide a mean-based feature extraction approach for uniformity analysis and a moment-based one for texture analysis. In the classification stage we propose both supervised and also unsupervised clustering algorithms. The graphical results of our implementations are also presented. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Region-based Image Analysis Several Pattern Recognition Approach Texture Analysis General Aspect Uniformity Analysis Classification Stage Mean-based Feature Extraction Approach Moment-based One Texture Recognition Pattern Recognition Approach Graphical Result Image Segmentation |
| Content Type | Text |
| Resource Type | Article |
