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| Author(s): |
Wesley Nunes Gonçalves
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Física de São Carlos (IFSC/BT) |
| Defense date: | 2013-08-02 |
| Examining board members: |
Odemir Martinez Bruno;
Junior Barrera;
Fernando Vieira Paulovich;
Hélio Pedrini;
Ernesto Chaves Pereira de Souza
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| Advisor: | Odemir Martinez Bruno |
| Abstract | |
Texture analysis has attracted an increasing interest in computer vision due to its importance in describing images. Basically, research on textures can be divided into two categories: static and dynamic textures. Static textures are characterized by intensity variations which form a pattern repeated in the image spatially. On the other hand, dynamic textures are patterns of textures present in a sequence of images. Although many studies have been carried out, this area is still open to study, especially in dynamic textures since it is a recent and little-explored subject. This study aims to develop research covering both types of textures in theoretical and practical fields. In static textures, two methods were proposed: (i) based on deterministic partially self-avoiding walks and fractal dimension - (ii) based on activity in directed networks. In dynamic textures, deterministic partially self-avoiding walks were extended to sequences of images and obtained interesting results in recognition and segmentation. The proposed methods were applied to problems of biology and nanotechnology, presenting interesting results in the development of both areas. (AU) | |
| FAPESP's process: | 10/08614-0 - Static and Dynamic Texture Analysis and their Applications in Biology and Nanotechnology |
| Grantee: | Wesley Nunes Gonçalves |
| Support Opportunities: | Scholarships in Brazil - Doctorate |