Spatial dependence modeled by Markov random fields for image analysis

• Grant number: 08/05088-5
• Support Opportunities: Regular Research Grants
• Duration: October 01, 2008 - September 30, 2010
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Hélio Pedrini
• Grantee: Hélio Pedrini
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

The main purpose of this project, in the context of Image Processing and Computer Vision fields, is the investigation and improvement of digital image analysis techniques in multiple resolutions using texture, color and shape features of the objects present in the images. The analysis process is based on spatial dependence of the image components modeled by Markov random fields. The project includes a characterization and justification of the problem being addressed, summary of the literature related to the research topic, its objectives, proposed methodology, work plan, project timetable, and analysis and validation of the planned results. (AU)